Triple
T16906989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallecas |
E424588
|
entity |
| Predicate | hasFootballClub |
P346
|
FINISHED |
| Object | Rayo Vallecano |
E143929
|
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: Rayo Vallecano | Statement: [Vallecas, hasFootballClub, Rayo Vallecano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rayo Vallecano Context triple: [Vallecas, hasFootballClub, Rayo Vallecano]
-
A.
Rayo Vallecano
chosen
Rayo Vallecano is a Spanish football club from the Madrid neighborhood of Vallecas, known for its working-class identity and passionate local support.
-
B.
Club of Madrid
The Club of Madrid is an independent organization composed mainly of former heads of state and government that works to promote democracy and good governance worldwide.
-
C.
Atlético Español
Atlético Español was a Mexican professional football club based in Mexico City that competed in the country’s top division during the 1970s.
-
D.
CF Rayo Majadahonda
CF Rayo Majadahonda is a Spanish football club based in the Madrid suburb of Majadahonda, known for competing in the lower professional tiers of Spanish football.
-
E.
Getafe
Getafe is a city in central Spain that forms part of the Madrid metropolitan area and is known for its industrial base, university campus, and air force history.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3ca39f9b08190b15106c6caf895ec |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfcedb58819087c31200c01f40b7 |
completed | May 10, 2026, 6:34 p.m. |
Created at: April 10, 2026, 5:30 a.m.