Triple
T1250213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victory |
E26856
|
entity |
| Predicate | refersTo |
P37
|
FINISHED |
| Object | Victory Station |
E166105
|
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: Victory Station | Statement: [Victory, refersTo, Victory Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Victory Station Context triple: [Victory, refersTo, Victory Station]
-
A.
Victory Station
chosen
Victory Station is a Dallas Area Rapid Transit (DART) light rail and commuter rail station located near the American Airlines Center in Dallas, Texas.
-
B.
Logan station
Logan station is an underground rapid transit stop in Philadelphia, Pennsylvania, serving the Logan neighborhood on SEPTA’s Broad Street Line.
-
C.
Suburban Station
Suburban Station is a major underground commuter rail hub in Center City Philadelphia that serves as a key node in the SEPTA Regional Rail network.
-
D.
Snyder station
Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
-
E.
Jefferson Station
Jefferson Station is a major regional rail hub in Center City Philadelphia that connects numerous SEPTA commuter lines and provides convenient access to nearby attractions and commercial areas.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf84c73c8190bbb14265cd7ab6ae |
completed | March 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfb8231ec81909d539f9bc2219619 |
completed | March 8, 2026, 10:43 p.m. |
Created at: March 1, 2026, 7:47 p.m.