Triple
T5329190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerf Hussein |
E123260
|
entity |
| Predicate | hasSanctuaryFeature |
P182
|
FINISHED |
| Object | niches for divine statues |
—
|
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: niches for divine statues | Statement: [Gerf Hussein, hasSanctuaryFeature, niches for divine statues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSanctuaryFeature Context triple: [Gerf Hussein, hasSanctuaryFeature, niches for divine statues]
-
A.
hasSanctuary
Indicates that one entity provides or serves as a place of refuge, protection, or safe haven for another entity.
-
B.
hasNewSanctuary
Indicates that an entity has acquired or established a new sanctuary location or protected refuge.
-
C.
hasOldSanctuary
Indicates that an entity possesses or is associated with an old or former sanctuary.
-
D.
hasFeature
chosen
Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
-
E.
hasChurchFeature
Indicates that a church possesses or includes a particular architectural, functional, or structural feature.
- 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_69bd46477f9081909d242a327d749466 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd859552d8819080758bdd7c43c66a |
completed | March 20, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69bd84583dbc819088a03e3afb30178c |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2 p.m.