Triple
T37600068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Cartagena |
E935496
|
entity |
| Predicate | hasGeographicRivalryRegion |
P80695
|
FINISHED |
| Object | Region of Murcia |
—
|
NE NERFINISHED |
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: Region of Murcia | Statement: [FC Cartagena, hasGeographicRivalryRegion, Region of Murcia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGeographicRivalryRegion Context triple: [FC Cartagena, hasGeographicRivalryRegion, Region of Murcia]
-
A.
geographicRivalry
Indicates a competitive or adversarial relationship between entities that arises from their geographic proximity, territorial interests, or spatial influence.
-
B.
rivalryRegion
chosen
Indicates a competitive or adversarial relationship that exists between entities within a specific geographic or regional context.
-
C.
conflictRegion
Indicates that the entities are located in or associated with a geographic area characterized by active or recent conflict, tension, or hostilities.
-
D.
hasGeographicConnectionTo
Indicates a relationship where two entities are linked through a shared or relevant geographic feature, location, or spatial association.
-
E.
hasRegion
Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
- F. None of above.
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_69f76ecf39c081909baffe597bb55273 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe38be079c8190a240191ac0e73e3a |
completed | May 8, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69fe350344508190930de2218156ca02 |
completed | May 8, 2026, 7:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.