Triple
T8989964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masjid Quba |
E214762
|
entity |
| Predicate | originalRoof |
P44342
|
FINISHED |
| Object | palm trunks and branches |
—
|
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: palm trunks and branches | Statement: [Masjid Quba, originalRoof, palm trunks and branches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalRoof Context triple: [Masjid Quba, originalRoof, palm trunks and branches]
-
A.
roofMaterialOriginal
chosen
Indicates the material that was originally used to construct the roof of a structure.
-
B.
hasRoofShape
Indicates that one entity possesses or is characterized by a specific shape or form of roof.
-
C.
hasTypeOfRoof
Indicates that an entity possesses or is characterized by a specific kind or style of roof.
-
D.
originalBuilding
Indicates that a building is the initial or first version from which later buildings, modifications, or replacements are derived.
-
E.
hasIconicRoofShape
Indicates that an entity possesses a roof with a distinctive, widely recognized, or characteristic shape.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc687205c88190a4cdf12ee2cdfd14 |
completed | April 1, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69cc5edba0f88190b97401636a076d7a |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:04 p.m.