Triple
T22280431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandailing people |
E550715
|
entity |
| Predicate | notableReligionCharacteristic |
P33575
|
FINISHED |
| Object | strong Islamic 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: strong Islamic identity | Statement: [Mandailing people, notableReligionCharacteristic, strong Islamic identity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableReligionCharacteristic Context triple: [Mandailing people, notableReligionCharacteristic, strong Islamic identity]
-
A.
religiousCharacteristic
chosen
Indicates that one entity has a religious attribute, quality, or affiliation that characterizes or distinguishes it in a religious context.
-
B.
religionNote
Indicates that there is an explanatory note or comment providing additional information or clarification about a subject’s religion.
-
C.
religionSignificant
Indicates that a particular religion plays an important or influential role in relation to the referenced entity or context.
-
D.
recognizesReligion
Indicates that one entity formally acknowledges or accepts another entity as a valid or legitimate religion.
-
E.
religiousInstitutionsNotableFor
Indicates that certain religious institutions are notable or distinguished for a particular characteristic, quality, activity, or role.
- 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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14eab4f848190b1a8ba70f9fb0581 |
completed | April 29, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e72ff0363081909f794d19c8a64837 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:40 p.m.