Triple
T30812034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramon Salazar |
E784669
|
entity |
| Predicate | locationControlled |
P68144
|
FINISHED |
| Object | castle in rural Spain |
—
|
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: castle in rural Spain | Statement: [Ramon Salazar, locationControlled, castle in rural Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationControlled Context triple: [Ramon Salazar, locationControlled, castle in rural Spain]
-
A.
locationOfControl
Indicates that one entity is the place or context in which another entity exercises authority, management, or control.
-
B.
controlsLocation
chosen
Indicates that one entity has authority over, manages, or determines the status or use of a particular location.
-
C.
townControlled
Indicates that one entity has governing authority or administrative control over a town.
-
D.
rangeControlledBy
Indicates that the extent or scope of something is regulated, limited, or determined by another entity.
-
E.
fareControlLocation
Indicates a location where access to or use of a transportation service is regulated, checked, or controlled for fare payment.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a011e5a419081908d06a07b395ebd97 |
completed | May 11, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_6a011de119048190b27d361cffabc228 |
completed | May 11, 2026, 12:08 a.m. |
Created at: April 29, 2026, 8:43 p.m.