Triple
T8086084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massachusetts Department of Transitional Assistance |
E188736
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
DTA
DTA is the Massachusetts state agency that administers public assistance programs such as food, cash, and employment support for low-income individuals and families.
|
E711765
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: DTA | Statement: [Massachusetts Department of Transitional Assistance, alsoKnownAs, DTA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DTA Context triple: [Massachusetts Department of Transitional Assistance, alsoKnownAs, DTA]
-
A.
DTTA
DTTA is the ICAO airport code for Tunis–Carthage International Airport, the main international gateway serving Tunis, the capital of Tunisia.
-
B.
DTL
DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
-
C.
dta.exe
dta.exe is the command-line version of SQL Server's Database Tuning Advisor, used to analyze workloads and recommend indexing and partitioning strategies for performance optimization.
-
D.
DTC
DTC is the official taxi service operator in Dubai, providing metered cabs and related transport services across the city.
-
E.
DAT
DAT is the ICAO airline designator assigned to Lynx Air, a Canadian low-cost carrier.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DTA Triple: [Massachusetts Department of Transitional Assistance, alsoKnownAs, DTA]
Generated description
DTA is the Massachusetts state agency that administers public assistance programs such as food, cash, and employment support for low-income individuals and families.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DTA Target entity description: DTA is the Massachusetts state agency that administers public assistance programs such as food, cash, and employment support for low-income individuals and families.
-
A.
DTTA
DTTA is the ICAO airport code for Tunis–Carthage International Airport, the main international gateway serving Tunis, the capital of Tunisia.
-
B.
DTL
DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
-
C.
dta.exe
dta.exe is the command-line version of SQL Server's Database Tuning Advisor, used to analyze workloads and recommend indexing and partitioning strategies for performance optimization.
-
D.
DTC
DTC is the official taxi service operator in Dubai, providing metered cabs and related transport services across the city.
-
E.
DAT
DAT is the ICAO airline designator assigned to Lynx Air, a Canadian low-cost carrier.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4160e4748190ae63624a2a03d09f |
completed | March 31, 2026, 3:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc6402e41c819095442775938d4282 |
completed | April 1, 2026, 12:17 a.m. |
| NEDg | Description generation | batch_69cc68647cec81909736383fbe73d2e8 |
completed | April 1, 2026, 12:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc69b93bbc8190be2338182dd57b17 |
completed | April 1, 2026, 12:41 a.m. |
Created at: March 30, 2026, 5:29 p.m.