Triple
T30723257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castillo de Monfragüe |
E782207
|
entity |
| Predicate | hasViewOfSpecies |
P147680
|
FINISHED |
| Object | griffon vulture |
—
|
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: griffon vulture | Statement: [Castillo de Monfragüe, hasViewOfSpecies, griffon vulture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasViewOfSpecies Context triple: [Castillo de Monfragüe, hasViewOfSpecies, griffon vulture]
-
A.
hasExhibitSpecies
Indicates that an exhibit or display includes or features a particular species.
-
B.
hasScientificSpecies
Indicates that an entity is associated with a specific scientific (Latin) species name.
-
C.
hasLargeSpecies
Indicates that an entity possesses or includes at least one species that is considered large in size.
-
D.
appearsWithSpecies
chosen
Indicates that one entity is observed or recorded together with a particular species in the same context or occurrence.
-
E.
hasNotableSpecimen
Indicates that an entity possesses or is associated with a specimen that is considered particularly significant, remarkable, or noteworthy.
- 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_69f224acd24481908ed5f96f0d69b5dd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: April 29, 2026, 8:36 p.m.