Triple
T38275670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord of Villalba |
E1021944
|
entity |
| Predicate | originPoliticalEntity |
P21031
|
FINISHED |
| Object | Kingdom of Castile |
E28971
|
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: Kingdom of Castile | Statement: [Lord of Villalba, originPoliticalEntity, Kingdom of Castile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originPoliticalEntity Context triple: [Lord of Villalba, originPoliticalEntity, Kingdom of Castile]
-
A.
politicalEntityAtOrigin
Indicates that a political entity is located at, originates from, or has its primary base at a specified origin location.
-
B.
geopoliticalOrigin
chosen
Indicates the geopolitical entity (such as a country, region, or state) from which something or someone originates or is associated.
-
C.
geopoliticalOrganization
Indicates that an entity functions as a political or governmental body associated with a specific geographic region or territory.
-
D.
operatedInPoliticalEntity
Indicates that an organization or individual conducted activities or exercised functions within the jurisdiction or territory of a specific political entity.
-
E.
countryOfOffice
Indicates the country in which a person’s official position, role, or office is held or exercised.
- F. None of above.
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_69f76df0cddc81908d16c1556ff4097f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41b286327c8190b5bd5235d4733af9 |
completed | June 28, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:30 p.m.