Triple
T26364951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peci |
E660305
|
entity |
| Predicate | commonWearerGroup |
P84687
|
FINISHED |
| Object | students in Islamic boarding schools |
—
|
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: students in Islamic boarding schools | Statement: [Peci, commonWearerGroup, students in Islamic boarding schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonWearerGroup Context triple: [Peci, commonWearerGroup, students in Islamic boarding schools]
-
A.
hasWearerGroup
Indicates that something is associated with or belongs to a particular group of wearers.
-
B.
commonGroup
Indicates that the related entities belong to or participate in at least one group in common.
-
C.
wearerType
Indicates the type or category of entity that is intended to wear or use the associated item.
-
D.
typicallyWornBy
chosen
Indicates that something (such as an item or garment) is most commonly or characteristically worn by a particular type of person or group.
-
E.
wearerMust
Indicates that a specified item or object is required to be worn by a particular entity under certain conditions or rules.
- 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_69ee8126d52c8190bc0b34337c2c9aa8 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 26, 2026, 10:54 p.m.