Triple
T2665906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trenton Transit Center |
E55634
|
entity |
| Predicate | railwayStationCode |
P1289
|
FINISHED |
| Object |
TRE
TRE is the station code for the Trenton Transit Center, a major rail hub in Trenton, New Jersey serving Amtrak, NJ Transit, and SEPTA trains.
|
E288538
|
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: TRE | Statement: [Trenton Transit Center, railwayStationCode, TRE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TRE Context triple: [Trenton Transit Center, railwayStationCode, TRE]
-
A.
TRA
TRA is the UK government body responsible for regulating the teaching profession, including overseeing teacher misconduct and maintaining professional standards.
-
B.
TR
TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
-
C.
TRC
TRC is the premier annual international rugby union competition in the Southern Hemisphere, contested by Argentina, Australia, New Zealand, and South Africa.
-
D.
the T
The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
-
E.
TREX
TREX is an XML schema language designed by James Clark that served as a precursor to the RELAX NG schema specification.
- 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: TRE Triple: [Trenton Transit Center, railwayStationCode, TRE]
Generated description
TRE is the station code for the Trenton Transit Center, a major rail hub in Trenton, New Jersey serving Amtrak, NJ Transit, and SEPTA trains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TRE Target entity description: TRE is the station code for the Trenton Transit Center, a major rail hub in Trenton, New Jersey serving Amtrak, NJ Transit, and SEPTA trains.
-
A.
TRA
TRA is the UK government body responsible for regulating the teaching profession, including overseeing teacher misconduct and maintaining professional standards.
-
B.
TR
TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
-
C.
TRC
TRC is the premier annual international rugby union competition in the Southern Hemisphere, contested by Argentina, Australia, New Zealand, and South Africa.
-
D.
the T
The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
-
E.
TREX
TREX is an XML schema language designed by James Clark that served as a precursor to the RELAX NG schema specification.
- 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd96ed2748190a4feae98199b459d |
completed | March 7, 2026, 7:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa058fdd08190a355fc8131cd6695 |
completed | March 10, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69afa15a8a94819095273a3ea37e2c73 |
completed | March 10, 2026, 4:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afa1e4ffb08190a6d96665ee566ea7 |
completed | March 10, 2026, 4:45 a.m. |
Created at: March 6, 2026, 9:54 p.m.