Triple
T8339846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramy al-Jamarat |
E195881
|
entity |
| Predicate | structureTypeOfJamarat |
P82181
|
FINISHED |
| Object | stone pillars (historically) |
—
|
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: stone pillars (historically) | Statement: [Ramy al-Jamarat, structureTypeOfJamarat, stone pillars (historically)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: structureTypeOfJamarat Context triple: [Ramy al-Jamarat, structureTypeOfJamarat, stone pillars (historically)]
-
A.
ihramType
Indicates the specific form or category of ihram (pilgrimage state) associated with a given pilgrimage act or person.
-
B.
designedStructureType
Indicates the type or category of structure that something has been specifically designed to be.
-
C.
minaretShape
Indicates that one entity has the specified architectural shape or form of a minaret in relation to another entity.
-
D.
mainPrayerHallType
Indicates the specific architectural or functional type assigned to a main prayer hall within a religious or worship-related structure.
-
E.
minaretMaterial
Indicates the material from which a minaret is constructed or primarily made.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd7a3888190b54306ed862aded4 |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d823b08190a54fadb50660cda5 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:57 p.m.