Triple
T9909886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergio Lobera |
E185112
|
entity |
| Predicate | coached |
P2169
|
FINISHED |
| Object | FC Goa |
E186350
|
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: FC Goa | Statement: [Sergio Lobera, coached, FC Goa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FC Goa Context triple: [Sergio Lobera, coached, FC Goa]
-
A.
FC Goa
chosen
FC Goa is a professional football club based in Goa, India, competing in the Indian Super League and known for its attacking style of play and strong local fanbase.
-
B.
Kerala Blasters FC
Kerala Blasters FC is a popular Indian Super League football club based in Kochi, known for its massive fan base and intense rivalries, particularly with Mumbai City FC.
-
C.
Bengaluru FC
Bengaluru FC is a professional football club based in Bengaluru, India, competing in the Indian Super League and known for its strong fan base and domestic success.
-
D.
Odisha FC
Odisha FC is a professional football club based in Bhubaneswar that competes in the Indian Super League.
-
E.
Chennaiyin FC
Chennaiyin FC is a professional football club based in Chennai, India, that competes in the Indian Super League and has won multiple league titles.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb51184d08190a0350f2722110811 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3000b21088190aa3ebb2ccbce9a6e |
completed | April 6, 2026, 12:36 a.m. |
Created at: March 30, 2026, 8:41 p.m.