Triple
T25787390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Majmu' Sharh al-Muhadhdhab |
E649455
|
entity |
| Predicate | authorMainCity |
P168041
|
FINISHED |
| Object | Damascus |
—
|
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: Damascus | Statement: [Al-Majmu' Sharh al-Muhadhdhab, authorMainCity, Damascus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorMainCity Context triple: [Al-Majmu' Sharh al-Muhadhdhab, authorMainCity, Damascus]
-
A.
primaryLocationCity
Indicates the city that serves as the main or primary location associated with the subject.
-
B.
homeCityOf
Indicates that a particular city is the primary place of residence or origin for a given person or organization.
-
C.
representedCity
Indicates that an entity serves as the official representative or proxy for a particular city.
-
D.
residencyCity
Indicates the city in which an entity resides or has their primary place of residence.
-
E.
homeCityMetropolitanArea
Indicates that a specified city serves as the primary metropolitan area associated with a given entity’s home location.
- 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_69e7ab33e9308190afe415dc6f9e8876 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 22, 2026, 5:56 a.m.