Triple
T2646267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D.C. United |
E53790
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | DCU |
E53790
|
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: DCU | Statement: [D.C. United, abbreviation, DCU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DCU Context triple: [D.C. United, abbreviation, DCU]
-
A.
DCU
chosen
DCU is the common abbreviation for D.C. United, a professional Major League Soccer club based in Washington, D.C.
-
B.
DCU
DCU is a modern public university in Dublin, Ireland, known for its focus on innovation, research, and industry-oriented education.
-
C.
DC
DC is the standard two-letter U.S. postal abbreviation for the District of Columbia, the federal district containing the nation’s capital, Washington.
-
D.
DC
DC is the widely used nickname of Dan Carter, the legendary New Zealand rugby union fly-half regarded as one of the greatest players in the sport’s history.
-
E.
DC Universe
The DC Universe is a fictional superhero setting featuring characters like Superman, Batman, and Wonder Woman who coexist and interact across interconnected stories and worlds.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd91846b4819093a063c15e1ee6af |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa050cc408190b2fa81a0f2da06eb |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 6, 2026, 9:53 p.m.