Triple
T13083207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabiriyya |
E310262
|
entity |
| Predicate | hasLegalOrientation |
P107951
|
FINISHED |
| Object | Zaydi jurisprudence |
—
|
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: Zaydi jurisprudence | Statement: [Tabiriyya, hasLegalOrientation, Zaydi jurisprudence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegalOrientation Context triple: [Tabiriyya, hasLegalOrientation, Zaydi jurisprudence]
-
A.
hasLegalStatus
Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
-
B.
hasLegalRight
Indicates that an entity possesses an officially recognized legal entitlement or permission to perform an action or hold a claim regarding another entity.
-
C.
hasHighestLegalStatusWithinCountry
Indicates that an entity holds the topmost legally recognized status or rank within a specific country, above all other comparable statuses.
-
D.
hasLegalSubject
Indicates that an entity serves as the legal subject (e.g., rights-holder or obligated party) in a legal relationship or context.
-
E.
hasLegalCapacity
Indicates that an entity possesses the legal authority and competence to perform actions or enter into obligations that are recognized and enforceable under the law.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d9811add9881908a92186dab5b6d48 |
completed | April 10, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69d9803f6c508190bfadfbc2d00c2c64 |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d98114a6508190b1e8e018bb5a068c |
completed | April 10, 2026, 11 p.m. |
Created at: April 9, 2026, 9:02 p.m.