Triple
T706260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E train |
E14105
|
entity |
| Predicate | serviceLetter |
P3497
|
FINISHED |
| Object | E |
E5353
|
NE FINISHED |
How this triple was built (3 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: E | Statement: [E train, serviceLetter, E]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E Context triple: [E train, serviceLetter, E]
-
A.
E
chosen
The E is a New York City Subway line that runs between Queens and Manhattan, providing a key rapid transit connection used by AirTrain JFK passengers traveling to and from the city.
-
B.
EC
EC is the two-letter ISO 3166-1 alpha-2 country code assigned to Ecuador.
-
C.
ED
ED is the federal agency responsible for establishing policy, administering, and coordinating most education-related programs in the United States.
-
D.
EG
EG is the standard abbreviation for the Egmont Group, an international network of Financial Intelligence Units that collaborates to combat money laundering and terrorist financing.
-
E.
D
D is a statically typed, compiled systems programming language designed as a modern successor to C and C++, emphasizing high performance, safety features, and programmer productivity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceLetter Context triple: [E train, serviceLetter, E]
-
A.
usesLetteredServices
chosen
Indicates that an entity makes use of services that are identified or categorized by letter-based designations.
-
B.
serviceWith
Indicates that one entity provides or is associated with a particular service offered to or used by another entity.
-
C.
serviceNumber
Indicates a unique identifying number assigned to a service, used to reference, track, or distinguish that service from others.
-
D.
serviceOf
Indicates that one entity performs, provides, or fulfills a function or duty on behalf of another entity.
-
E.
service
Indicates that one entity performs work, assistance, or functions to meet the needs or requests of another entity.
- F. None of above.
Provenance (4 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a58d4c3c8190ad4527d14bca5e6e |
completed | March 1, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dcb1795c8190a178e14509b8b271 |
completed | March 2, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69a4a4edc33881909a978268f6dd5d82 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.