Triple
T9143513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Legislature Online |
E219388
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
TLO
TLO is the official online portal providing public access to information, documents, and tracking tools for the Texas Legislature’s activities and legislation.
|
E781054
|
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: TLO | Statement: [Texas Legislature Online, hasAbbreviation, TLO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TLO Context triple: [Texas Legislature Online, hasAbbreviation, TLO]
-
A.
TLO
TLO, also known as Dario Wünsch, is a German professional StarCraft II player renowned for his creative strategies and long-standing presence in the competitive scene.
-
B.
TOL
TOL is the standard abbreviation for the Toledo Walleye, a professional minor league ice hockey team based in Toledo, Ohio.
-
C.
TOL
TOL is the IATA airport code for Toledo Express Airport, a public airport serving the Toledo, Ohio area in the United States.
-
D.
TRO
TRO is the National Rail station code for Trowbridge railway station in Wiltshire, England.
-
E.
TLH
TLH is the IATA airport code for Tallahassee International Airport, the primary commercial airport serving Florida’s state capital.
- 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: TLO Triple: [Texas Legislature Online, hasAbbreviation, TLO]
Generated description
TLO is the official online portal providing public access to information, documents, and tracking tools for the Texas Legislature’s activities and legislation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TLO Target entity description: TLO is the official online portal providing public access to information, documents, and tracking tools for the Texas Legislature’s activities and legislation.
-
A.
TLO
TLO, also known as Dario Wünsch, is a German professional StarCraft II player renowned for his creative strategies and long-standing presence in the competitive scene.
-
B.
TOL
TOL is the standard abbreviation for the Toledo Walleye, a professional minor league ice hockey team based in Toledo, Ohio.
-
C.
TOL
TOL is the IATA airport code for Toledo Express Airport, a public airport serving the Toledo, Ohio area in the United States.
-
D.
TRO
TRO is the National Rail station code for Trowbridge railway station in Wiltshire, England.
-
E.
TLH
TLH is the IATA airport code for Tallahassee International Airport, the primary commercial airport serving Florida’s state capital.
- 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_69ca83e121dc81909912bd66953081c5 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca91548248190ae0b63edebf3d674 |
completed | April 1, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d048186cc88190be4f515c16c20450 |
completed | April 3, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_69d0496672a881909c1ac91a7ec1a2a1 |
completed | April 3, 2026, 11:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d04a35451881909dfe6795b743b026 |
completed | April 3, 2026, 11:16 p.m. |
Created at: March 30, 2026, 7:19 p.m.