Triple
T26138133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | تماثيل رمسيس الثاني |
E659436
|
entity |
| Predicate | توجد_في |
P57262
|
FINISHED |
| Object | معبد الرمسيوم |
—
|
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: معبد الرمسيوم | Statement: [تماثيل رمسيس الثاني, توجد_في, معبد الرمسيوم]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: توجد_في Context triple: [تماثيل رمسيس الثاني, توجد_في, معبد الرمسيوم]
-
A.
находитсяВСтране
Indicates that something is located within the territory or borders of a specific country.
-
B.
sometimesLocatedIn
Indicates that an entity is located in a given place only at certain times or under certain conditions, rather than permanently or always.
-
C.
hasPartInCountry
Indicates that an entity has a component, section, or portion that is located within a specified country.
-
D.
inhabitedIn
Indicates that an entity lives, resides, or has its dwelling within a specified place or location.
-
E.
existsWithin
chosen
Indicates that one entity is located inside the spatial, temporal, or conceptual boundaries of another entity.
- 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60be1d2408190820365bf7d8436bd |
completed | May 2, 2026, 2:36 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 8:18 p.m.