Triple
T1296413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umrah |
E27661
|
entity |
| Predicate | prohibitionsDuringIhram |
P6166
|
FINISHED |
| Object | cutting hair |
—
|
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: cutting hair | Statement: [Umrah, prohibitionsDuringIhram, cutting hair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prohibitionsDuringIhram Context triple: [Umrah, prohibitionsDuringIhram, cutting hair]
-
A.
prohibits
Indicates that one entity forbids or disallows another entity from performing a specific action or being in a certain state.
-
B.
religiousRestriction
chosen
Indicates that one entity imposes, experiences, or is subject to limitations or rules based on religious beliefs or practices in relation to another entity or context.
-
C.
prohibitedWeaponType
Indicates that a particular type of weapon is classified as not allowed or forbidden under specified rules, laws, or agreements.
-
D.
halakhicStatus
Indicates the formal standing or classification of an entity according to Jewish law (halakha), especially in terms of what is religiously permitted, required, or prohibited.
-
E.
observanceMayVaryByCountry
Indicates that the way something is observed, celebrated, or practiced can differ depending on the country.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c3bb3a9c81909db2ad91defd87b6 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bee64d908190b6a9bb479959d523 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.