Triple
T2440183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Link light rail |
E53254
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object | T Line |
E62461
|
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: T Line | Statement: [Link light rail, hasLine, T Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T Line Context triple: [Link light rail, hasLine, T Line]
-
A.
T Line
chosen
The T Line is a streetcar-style light rail route within the Sound Transit Link system serving Tacoma, Washington.
-
B.
J Line
The J Line is a bus rapid transit route in the Los Angeles Metro system that provides high-frequency, limited-stop service across key corridors in the region.
-
C.
L Line
The L Line was a light rail route in the Los Angeles Metro Rail system that connected communities across the San Gabriel Valley and Eastside before being integrated into other lines.
-
D.
Blue Line
The Blue Line is one of the main lines of the Lisbon Metro system, serving key central and northern areas of Portugal’s capital city.
-
E.
Blue Line
The Blue Line is one of the color-coded rapid transit routes in the Washington Metro system, running through key parts of Washington, D.C. and its Virginia suburbs.
- 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_69ab495b6dac8190ac82661aa1452222 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9f7ba208190810f8ea115110375 |
completed | March 7, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa04046cc81908876e639d2144d8f |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 6, 2026, 9:43 p.m.