Triple
T8662090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jakovali Hassan Mosque |
E205571
|
entity |
| Predicate | minaretCondition |
P83952
|
FINISHED |
| Object | intact |
—
|
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: intact | Statement: [Jakovali Hassan Mosque, minaretCondition, intact]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minaretCondition Context triple: [Jakovali Hassan Mosque, minaretCondition, intact]
-
A.
minaretMaterial
Indicates the material from which a minaret is constructed or primarily made.
-
B.
hasMinarets
Indicates that an entity (typically a building) possesses one or more minarets as architectural features.
-
C.
minaretShape
Indicates that one entity has the specified architectural shape or form of a minaret in relation to another entity.
-
D.
hasMinaretHeightApprox
Indicates that an entity has a minaret whose height is approximately a specified value, allowing for some margin of imprecision.
-
E.
minaretSymbolism
Indicates the symbolic or representational meaning associated with a minaret in a given cultural, religious, or architectural context.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4872a190819087d679f3006bd030 |
completed | March 31, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69cc4564e018819081036722f3e42a71 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc46c330bc8190a9b644078881c6ff |
completed | March 31, 2026, 10:12 p.m. |
Created at: March 30, 2026, 6:30 p.m.