Triple
T8919493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C9 League |
E212375
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | C9 |
E460906
|
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: C9 | Statement: [C9 League, alternativeName, C9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: C9 Context triple: [C9 League, alternativeName, C9]
-
A.
C9
chosen
C9 is the informal name for the Council of Cardinals, a small advisory body established by the pope to help him govern and reform the Roman Catholic Church.
-
B.
C90
C90 is the informal name for the 1990 standardization of the C programming language defined by ISO/IEC 9899.
-
C.
C90
C90 is a popular Honda Super Cub variant, a small-displacement, step-through commuter motorcycle renowned for its reliability and widespread use worldwide.
-
D.
C-9
C-9 is a mountain railway line of Madrid’s Cercanías commuter rail network that connects the city with the Sierra de Guadarrama, including the Puerto de Navacerrada and Cotos areas.
-
E.
C09
C09 is the station code used by the Washington Metro to identify Pentagon City station on its rail network.
- 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_69ca839481d48190b42b037e0d0f636c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6613639881909090d060f388a865 |
completed | April 1, 2026, 12:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba49d65c8190b9d9908822198cc0 |
completed | April 3, 2026, 1:02 p.m. |
Created at: March 30, 2026, 6:56 p.m.