Triple
T18314308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tzistarakis Mosque |
E438714
|
entity |
| Predicate | originallyHadMinaret |
P11839
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Tzistarakis Mosque, originallyHadMinaret, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyHadMinaret Context triple: [Tzistarakis Mosque, originallyHadMinaret, true]
-
A.
minaretAdded
Indicates that a minaret has been constructed and incorporated into an existing structure or site.
-
B.
minaretBuiltBy
Indicates that a minaret was constructed by a particular agent, such as a person, group, or organization.
-
C.
hasMinarets
chosen
Indicates that an entity (typically a building) possesses one or more minarets as architectural features.
-
D.
hasMinaretHeightApprox
Indicates that an entity has a minaret whose height is approximately a specified value, allowing for some margin of imprecision.
-
E.
reconvertedToMosqueBy
Indicates that a building or site, previously used for another purpose, was changed back into a mosque by a specific agent or authority.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5021b7e2c81908cd3b6684ab899f6 |
completed | April 19, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69e44fe4ee10819086b4142444fca1f5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:36 a.m.