Triple
T37636414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maligawa Tusker |
E936498
|
entity |
| Predicate | locationWhenNotInProcession |
P72038
|
FINISHED |
| Object | custodial elephant stables |
—
|
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: custodial elephant stables | Statement: [Maligawa Tusker, locationWhenNotInProcession, custodial elephant stables]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationWhenNotInProcession Context triple: [Maligawa Tusker, locationWhenNotInProcession, custodial elephant stables]
-
A.
locationWhenNotInUse
chosen
Indicates the place where an entity is typically kept or stored when it is not actively being used.
-
B.
locationWhenGiven
Indicates the place where an entity is located at the time it is given or transferred to another entity.
-
C.
currentlyLocatedAt
Indicates that an entity’s present or most recent known physical location is at the specified place.
-
D.
locationSymbolic
Indicates a symbolic or abstract locational relationship between entities, where one is associated with a place or position in a non-literal, representational, or conceptual sense.
-
E.
locatedInHolyTown
Indicates that an entity is situated within a town that is considered holy or religiously significant.
- 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_69f76ed31d8881908405da6c6d2f0463 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.