Triple
T11554974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real Murcia CF |
E273994
|
entity |
| Predicate | numberOfSegundaDivisionTitles |
P100290
|
FINISHED |
| Object | 8 |
—
|
LITERAL 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: 8 | Statement: [Real Murcia CF, numberOfSegundaDivisionTitles, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSegundaDivisionTitles Context triple: [Real Murcia CF, numberOfSegundaDivisionTitles, 8]
-
A.
secondDivisionNumberOfClubs
Indicates the total number of clubs that participate in the second division of a competition or league.
-
B.
teamWithSecondMostTitles
Indicates that the subject is the team that has won the second-highest number of titles within a given competition or context.
-
C.
SupercopaDeEspañaTitles
Indicates the number of Supercopa de España titles an entity has won.
-
D.
hasSecondDivision
Indicates that an entity possesses or is associated with a second-level division or subdivision within its structure or hierarchy.
-
E.
numberOfLigaMXTitles
Indicates the total count of Liga MX championship titles an entity has won.
- F. None of above. chosen
Provenance (4 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a86be308190973fea5d7db8ba9d |
completed | April 10, 2026, 5:28 a.m. |
| PD | Predicate disambiguation | batch_69d85dc3fc2c8190bed7e2111301a77c |
completed | April 10, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69d87f2e67108190ac36bf47aac12fa8 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:37 p.m.