Triple
T30091105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Lubaba ibn Abd al-Mundhir |
E764735
|
entity |
| Predicate | locationOfRepentance |
P202653
|
FINISHED |
| Object | Mosque of the Prophet in Medina |
—
|
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: Mosque of the Prophet in Medina | Statement: [Abu Lubaba ibn Abd al-Mundhir, locationOfRepentance, Mosque of the Prophet in Medina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfRepentance Context triple: [Abu Lubaba ibn Abd al-Mundhir, locationOfRepentance, Mosque of the Prophet in Medina]
-
A.
revelationPlace
Indicates the place or location where a revelation, disclosure, or revealing event occurs.
-
B.
resurrectionPlace
Indicates the location where an entity is brought back to life or restored from death.
-
C.
sacrificeLocation
Indicates the place where a sacrifice is performed or occurs.
-
D.
punishmentLocation
Indicates the place or setting where a punishment is carried out or imposed.
-
E.
מקום פטירה
Indicates the place where an entity (typically a person) died.
- 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a00a74c0564819081e1c4c29b9d0d15 |
completed | May 10, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_6a00a6a63ef48190a743c88534d9d672 |
completed | May 10, 2026, 3:39 p.m. |
| PDg | Predicate description generation | batch_6a00a74afb3c8190a274bf6681950aa3 |
completed | May 10, 2026, 3:42 p.m. |
Created at: April 29, 2026, 7:05 p.m.