Triple
T3974293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian State Forces |
E85602
|
entity |
| Predicate | hadAllegiance |
P53264
|
FINISHED |
| Object | rulers of princely states |
—
|
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: rulers of princely states | Statement: [Indian State Forces, hadAllegiance, rulers of princely states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadAllegiance Context triple: [Indian State Forces, hadAllegiance, rulers of princely states]
-
A.
allegiance
Indicates a relationship where one entity is loyal, committed, or obligated in support or service to another entity.
-
B.
countryOfAllegiance
Indicates the country to which an entity owes loyalty, support, or official allegiance.
-
C.
notableAllegiance
Indicates a significant or historically important loyalty or affiliation that one entity has toward another, such as a person’s primary side, cause, or organization they are known for supporting.
-
D.
firstHolderAllegiance
Indicates the allegiance or affiliation of the initial holder of something (e.g., a title, position, or object) at the time they first possessed it.
-
E.
protagonistAllegiance
Indicates the group, cause, or side with which the main character is aligned or to which they show loyalty.
- 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaca33e4819091957c7915857a42 |
completed | March 9, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69aef8f252b081909749d40440d372b2 |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefac8f7a48190b065487ce090eaf2 |
completed | March 9, 2026, 4:52 p.m. |
Created at: March 9, 2026, 3:32 p.m.