Triple
T21121041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xerez CD |
E520429
|
entity |
| Predicate | hasLevelHistory |
P142926
|
FINISHED |
| Object | top professional divisions of Spanish football |
—
|
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: top professional divisions of Spanish football | Statement: [Xerez CD, hasLevelHistory, top professional divisions of Spanish football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLevelHistory Context triple: [Xerez CD, hasLevelHistory, top professional divisions of Spanish football]
-
A.
hasHistoryPeriod
Indicates that something is associated with, belongs to, or occurs within a specific historical period or era.
-
B.
hasFlagHistory
Indicates that there exists a historical record or sequence of changes related to an entity’s flag.
-
C.
hasHistoryIn
Indicates that an entity has a past involvement, presence, or record of activity within a particular domain, context, or location.
-
D.
hasLabelHistory
Indicates that an entity is associated with a record of its past labels, including changes over time.
-
E.
hasHistorySince
Indicates that an entity has maintained a particular state, condition, or relationship continuously starting from a specified point in time.
- 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_69e0b50a623881909c0bbaf4f2c055e7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e722348fe08190a1f079b7b0b5dd14 |
completed | April 21, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69e5dbff56848190a03b350a9305c612 |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:55 p.m.