Triple
T9786351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TurkishAmericanMosques |
E237497
|
entity |
| Predicate | supportsIdentity |
P90643
|
FINISHED |
| Object | Turkish American identity |
—
|
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: Turkish American identity | Statement: [TurkishAmericanMosques, supportsIdentity, Turkish American identity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsIdentity Context triple: [TurkishAmericanMosques, supportsIdentity, Turkish American identity]
-
A.
supportsSignInMethod
Indicates that one entity enables or allows another entity to use a particular sign-in or authentication method.
-
B.
supportsAccountType
Indicates that one entity is compatible with, or able to operate for, a specified type or category of account.
-
C.
hasIdentity
Indicates that one entity is the same as, or is identified as, another specific entity or identifier.
-
D.
supporterIdentity
Indicates that one entity is identified as a supporter (e.g., backer, advocate, or sponsor) of another entity or cause.
-
E.
supportsProvider
Indicates that one entity provides assistance, resources, or endorsement to another entity acting in a provider role.
- 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda2107f688190b2cab1509c508319 |
completed | April 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69cd03d77c6c81909b675955bf113320 |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06aa8bc88190904be19c8953def8 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:27 p.m.