Triple
T15106971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mehr-un-Nissa |
E360811
|
entity |
| Predicate | politicalSkill |
P92123
|
FINISHED |
| Object | court diplomacy |
—
|
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: court diplomacy | Statement: [Mehr-un-Nissa, politicalSkill, court diplomacy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalSkill Context triple: [Mehr-un-Nissa, politicalSkill, court diplomacy]
-
A.
occupationPower
Indicates a relationship where one party holds authoritative control, influence, or dominance over another within the context of an occupation or role.
-
B.
politicalFunction
Indicates that an entity holds, performs, or is associated with a specific role, duty, or function within a political system or structure.
-
C.
politicalMethod
chosen
Indicates a relationship where an entity uses, applies, or is characterized by a particular political method, strategy, or procedural approach in the political sphere.
-
D.
politicalGoal
Indicates a relationship where an entity aims to achieve, promote, or realize a specific political outcome, policy, or state of affairs.
-
E.
hasPoliticalCharacteristic
Indicates that an entity possesses a specific political attribute, quality, or affiliation.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058af8988190977d998f85893836 |
completed | April 15, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69deb96c1d9c81909351558ed97bc5b7 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:05 a.m.