Triple
T21706093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bab Zuweila |
E535774
|
entity |
| Predicate | rebuiltOrModifiedDuring |
P145013
|
FINISHED |
| Object | Mamluk period |
—
|
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: Mamluk period | Statement: [Bab Zuweila, rebuiltOrModifiedDuring, Mamluk period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rebuiltOrModifiedDuring Context triple: [Bab Zuweila, rebuiltOrModifiedDuring, Mamluk period]
-
A.
rebuiltOn
Indicates that one entity has been reconstructed, restored, or built again on, over, or using the foundation, structure, or basis of another entity.
-
B.
rebuiltOrExpanded
Indicates that one entity has been reconstructed, enlarged, or otherwise significantly developed from its previous form or state.
-
C.
rebuiltOrConverted
Indicates that one entity has been reconstructed, significantly modified, or transformed into another form or function.
-
D.
rebuiltBetween
Indicates that an entity was reconstructed or rebuilt during a time interval bounded by two specified temporal points.
-
E.
renovatedAfter
Indicates that one entity was renovated at a later time than 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb52f64c48190b5d59561999e922f |
completed | April 27, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:46 p.m.