Triple
T13976909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Yellow Army |
E336209
|
entity |
| Predicate | supportsFranchise |
P95359
|
FINISHED |
| Object | CSK |
E336207
|
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: CSK | Statement: [The Yellow Army, supportsFranchise, CSK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CSK Context triple: [The Yellow Army, supportsFranchise, CSK]
-
A.
CSK
CSK was the ISO 4217 currency code for the former Czechoslovak koruna, the official currency of Czechoslovakia before its dissolution.
-
B.
CSK
chosen
CSK is a popular franchise cricket team based in Chennai that competes in the Indian Premier League (IPL).
-
C.
Panachaiki F.C.
Panachaiki F.C. is a Greek professional football club based in Patras, known for its historic presence in the country’s top divisions and participation in European competitions.
-
D.
LSG
LSG is the standard French abbreviation for the Louis Segond Bible, a widely used Protestant translation of the Scriptures into French.
-
E.
LSG
LSG is an American R&B supergroup best known for its smooth, soulful harmonies and collaborations among prominent male vocalists in the 1990s.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e90dc148190b38e339aac0de484 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc323d8ac81909b4eaf44f8fd462c |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.