Triple
T26557935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vikramaditya |
E666161
|
entity |
| Predicate | hasCourtTraditionOf |
P19423
|
FINISHED |
| Object | Navaratnas |
—
|
NE NERFINISHED |
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: Navaratnas | Statement: [Vikramaditya, hasCourtTraditionOf, Navaratnas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCourtTraditionOf Context triple: [Vikramaditya, hasCourtTraditionOf, Navaratnas]
-
A.
isCentralCourtOf
Indicates that a court serves as the primary or main judicial authority for a specified jurisdiction, organization, or court system.
-
B.
courtRankTradition
Indicates the traditional hierarchical rank or status an entity holds within a court or formal ceremonial order.
-
C.
hasTraditionIn
chosen
Indicates that a particular tradition, custom, or longstanding practice is present, observed, or established within a specified place, group, or context.
-
D.
hasLawTradition
Indicates that one legal system, jurisdiction, or entity follows or is based on a particular legal tradition or family of law.
-
E.
traditionalCourt
Indicates that an entity is associated with or takes place in a conventional or historically established court of law, as opposed to a modern, alternative, or informal judicial setting.
- 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_69ee9cf7e94481909f0d556b36e43572 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69fdec5ffe088190ac5505f26c6cff18 |
completed | May 8, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69fdeae15f1c81908fc63fbc1b028d2e |
completed | May 8, 2026, 1:53 p.m. |
Created at: April 27, 2026, 1:51 a.m.