Triple
T31196125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Sijistani |
E795325
|
entity |
| Predicate | denotesAffiliationWith |
P86004
|
FINISHED |
| Object | people from Sijistan |
—
|
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: people from Sijistan | Statement: [al-Sijistani, denotesAffiliationWith, people from Sijistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: denotesAffiliationWith Context triple: [al-Sijistani, denotesAffiliationWith, people from Sijistan]
-
A.
commonAffiliation
Indicates that two or more entities share the same organizational, institutional, or group affiliation.
-
B.
holderAffiliation
chosen
Indicates that a holder (such as a person or organization) is affiliated with, or belongs to, a particular group, institution, or entity.
-
C.
subjectAffiliation
Indicates that a subject is formally associated or connected with a particular organization, group, or institution.
-
D.
affiliationNote
Indicates a textual note or qualifier that provides additional context or clarification about an affiliation relationship between entities.
-
E.
namedForPersonAffiliation
Indicates that something is named after a person specifically because of that person's affiliation with a particular group, organization, place, 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_69f224d7a6a481908187c4362a8a525f |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 29, 2026, 9:09 p.m.