Triple
T23046929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhima I |
E573900
|
entity |
| Predicate | returnedToThrone |
P73419
|
FINISHED |
| Object | after withdrawal of Mahmud of Ghazni |
—
|
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: after withdrawal of Mahmud of Ghazni | Statement: [Bhima I, returnedToThrone, after withdrawal of Mahmud of Ghazni]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: returnedToThrone Context triple: [Bhima I, returnedToThrone, after withdrawal of Mahmud of Ghazni]
-
A.
restoredToThrone
chosen
Indicates that an entity regains a previously held throne or royal position after having lost or been removed from it.
-
B.
regainsThroneFrom
Indicates that one entity takes back control of a throne or rulership position that had been held by another entity.
-
C.
lostThroneTo
Indicates that one entity was previously in possession of a throne or rulership but was defeated or displaced so that another entity took that throne instead.
-
D.
lostThroneAgainIn
Indicates that an entity lost its throne once more, on or during a specified time or event.
-
E.
restoredToThroneBy
Indicates that an entity was returned to a position of rulership or kingship through the actions or intervention of another entity.
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18678e5c48190a96a7b4c9c82f8fe |
completed | April 29, 2026, 4:18 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
Created at: April 17, 2026, 3:54 p.m.