Triple
T26947216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamra |
E678678
|
entity |
| Predicate | hasPublicInstitutionsType |
P39016
|
FINISHED |
| Object | mosques |
—
|
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: mosques | Statement: [Tamra, hasPublicInstitutionsType, mosques]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicInstitutionsType Context triple: [Tamra, hasPublicInstitutionsType, mosques]
-
A.
isPublicInstitution
Indicates that an entity operates as a publicly governed or state-funded institution, typically serving the general public under public law or oversight.
-
B.
hasInstitutions
Indicates that one entity possesses, contains, or is associated with one or more institutions.
-
C.
isPublicInstitutionCampus
Indicates that a given campus belongs to or is operated by a public (state- or government-run) institution.
-
D.
hasInstitutionalSector
Indicates that an entity is associated with, classified under, or belongs to a particular institutional sector within an economic, organizational, or regulatory framework.
-
E.
hasCommunityInstitutions
chosen
Indicates that an entity possesses, hosts, or is associated with organized community-serving institutions (such as local organizations, centers, or facilities) within its scope.
- 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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 27, 2026, 6:22 a.m.