Triple
T7667379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbus Crew |
E173656
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | The Crew |
E173656
|
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: The Crew | Statement: [Columbus Crew, nickname, The Crew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Crew Context triple: [Columbus Crew, nickname, The Crew]
-
A.
The Crew
chosen
The Crew is the popular nickname for the Columbus Crew, a Major League Soccer club based in Columbus, Ohio.
-
B.
Loop Drive
Loop Drive is the main circular roadway in New York City's Central Park used by pedestrians, cyclists, and vehicles for recreation and transit.
-
C.
Steep
Steep is a rural village and civil parish in East Hampshire, England, known for its scenic countryside and literary associations with poet Edward Thomas.
-
D.
Racer
Racer is a classic wooden racing roller coaster located at Kennywood amusement park in Pennsylvania.
-
E.
The Squad
The Squad is an informal group of progressive Democratic members of the U.S. House of Representatives known for their left-wing policy positions and strong social media presence.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701c26ffc8190894fdef92f877f38 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89b260000819088d744ea8dc53cd2 |
completed | March 29, 2026, 3:23 a.m. |
Created at: March 27, 2026, 4 p.m.