Triple
T12076221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tramway T2 |
E287554
|
entity |
| Predicate | lineNumber |
P1864
|
FINISHED |
| Object | T2 |
E249595
|
NE FINISHED |
How this triple was built (2 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: T2 | Statement: [Tramway T2, lineNumber, T2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T2 Context triple: [Tramway T2, lineNumber, T2]
-
A.
T2
T2 is a Sydney Trains suburban rail service designation used for the Inner West & Leppington Line in the Sydney metropolitan network.
-
B.
T2
T2 is San Francisco International Airport’s Terminal 2, a modern passenger terminal serving domestic flights with updated amenities and design.
-
C.
T2
T2 is a passenger terminal at Berlin Brandenburg Airport that handles check-in, security, and boarding operations for departing and arriving travelers.
-
D.
T2
chosen
T2 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
-
E.
T2
T2 is the second passenger terminal at Chicago O'Hare International Airport, serving various domestic and regional airline operations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9045ceeec81909427cae8972eed26 |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f660f48881908d50bf27b0892953 |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.