Triple
T20263078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhar State |
E498893
|
entity |
| Predicate | ethnoPoliticalCharacter |
P117238
|
FINISHED |
| Object | Maratha |
—
|
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: Maratha | Statement: [Dhar State, ethnoPoliticalCharacter, Maratha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnoPoliticalCharacter Context triple: [Dhar State, ethnoPoliticalCharacter, Maratha]
-
A.
ideologicalCharacter
Indicates a relationship where one entity embodies, expresses, or is defined by a particular ideology or set of ideological traits.
-
B.
hasPoliticalCharacteristic
Indicates that an entity possesses a specific political attribute, quality, or affiliation.
-
C.
ethnoPoliticalTradition
chosen
Indicates a relationship where a political practice, ideology, or institution is rooted in, shaped by, or expressive of a particular ethnic group's historical traditions and identity.
-
D.
politicalActor
Indicates that an entity participates in political activities or holds a role within a political system or process.
-
E.
thematicCharacter
Indicates that an entity serves as a central or recurring figure embodying key themes or motifs within a narrative or discourse.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674ccff008190920b418f51dc4311 |
completed | April 20, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69e55b1b23f88190bdcbe2f81dd226dd |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:41 p.m.