Triple
T2378311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | İstanbul İmam Hatip High School |
E46250
|
entity |
| Predicate | hasRoleInSociety |
P15115
|
FINISHED |
| Object | training religious functionaries |
—
|
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: training religious functionaries | Statement: [İstanbul İmam Hatip High School, hasRoleInSociety, training religious functionaries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoleInSociety Context triple: [İstanbul İmam Hatip High School, hasRoleInSociety, training religious functionaries]
-
A.
roleInCommunity
chosen
Indicates the function, position, or set of responsibilities an entity holds within a particular community or group.
-
B.
hasViewOnSociety
Indicates that an entity holds a particular perspective, opinion, or stance regarding society or social structures.
-
C.
ethnicRole
Indicates a role, function, or social position that is specifically associated with or defined by an entity’s ethnicity.
-
D.
roleInvolves
Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
-
E.
hasCityRole
Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abca4d89248190be7d712d5fa8382b |
completed | March 7, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69abc59d82f08190b7c36982d1ae783d |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:57 p.m.