Triple
T14590274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lodi tribe |
E342424
|
entity |
| Predicate | associatedLanguageOfCourt |
P6495
|
FINISHED |
| Object | Persian |
—
|
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: Persian | Statement: [Lodi tribe, associatedLanguageOfCourt, Persian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedLanguageOfCourt Context triple: [Lodi tribe, associatedLanguageOfCourt, Persian]
-
A.
languageOfJurisdiction
Indicates the language officially used for legal and administrative purposes within a given jurisdiction.
-
B.
courtLanguage
chosen
Indicates the language officially used in legal proceedings or by a court.
-
C.
languageOfProceedingsOverseen
Indicates the language in which the proceedings that an entity oversees or presides over are conducted.
-
D.
languageOfLegalCode
Indicates that a specified language is the language in which a particular legal code or body of law is written or officially expressed.
-
E.
languageOfCommunications
Indicates that a specified language is used as the medium for communications associated with an entity or interaction.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4249af08190962009741d1f7d41 |
completed | April 14, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69de656a953481909a4645b004c40de7 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:24 a.m.