Triple
T15704174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marthanda Varma |
E380664
|
entity |
| Predicate | madeTravancore |
P120370
|
FINISHED |
| Object | dominant power in southern Kerala |
—
|
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: dominant power in southern Kerala | Statement: [Marthanda Varma, madeTravancore, dominant power in southern Kerala]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeTravancore Context triple: [Marthanda Varma, madeTravancore, dominant power in southern Kerala]
-
A.
distanceToKanyakumari
Indicates the spatial distance between a given location and Kanyakumari.
-
B.
princelyStateCategory
Indicates that an entity is classified as belonging to the category of princely states.
-
C.
andraChansenCity
Indicates that a given city is the location where the "Andra Chansen" (Second Chance) round of a competition takes place.
-
D.
landCommanderMysore
Indicates that an entity serves as the land forces commander for Mysore.
-
E.
princelyStateName
Indicates that an entity has the name of a princely state (a semi-autonomous, traditionally monarch-ruled territory).
- F. None of above. chosen
Provenance (4 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e0b4d01c9c81909f6b611e8144c838 |
completed | April 16, 2026, 10:07 a.m. |
Created at: April 10, 2026, 4:45 a.m.