Triple
T25242429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boycott of Banu Hashim in Mecca |
E632502
|
entity |
| Predicate | documentLocation |
P158312
|
FINISHED |
| Object | Kaaba |
—
|
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: Kaaba | Statement: [Boycott of Banu Hashim in Mecca, documentLocation, Kaaba]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: documentLocation Context triple: [Boycott of Banu Hashim in Mecca, documentLocation, Kaaba]
-
A.
locationInDocument
Indicates that one entity specifies where another entity is situated or referenced within a document.
-
B.
documentationLocation
Indicates the place or resource where relevant documentation for an entity can be found.
-
C.
locationInSystem
Indicates that one entity is situated within or belongs to the spatial or organizational bounds of a particular system.
-
D.
scriptLocation
Indicates the physical or virtual place where a script is stored, hosted, or expected to be found.
-
E.
mainLocation
Indicates that one entity serves as the primary or central location associated with another entity.
- F. None of above. chosen
Provenance (4 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_69e75a8ec5f88190b9eba06ae42b413a |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47dff233c8190957fdac945808ba4 |
completed | May 1, 2026, 10:18 a.m. |
| PD | Predicate disambiguation | batch_69f45d06d0388190b36ecde92013624a |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f465699c9c8190ac7b4b32b782550c |
completed | May 1, 2026, 8:33 a.m. |
Created at: April 21, 2026, 1:08 p.m.