Triple
T18534291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shikhandi |
E452920
|
entity |
| Predicate | keyBattleEvent |
P132041
|
FINISHED |
| Object | used as shield by Arjuna against Bhishma |
—
|
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: used as shield by Arjuna against Bhishma | Statement: [Shikhandi, keyBattleEvent, used as shield by Arjuna against Bhishma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyBattleEvent Context triple: [Shikhandi, keyBattleEvent, used as shield by Arjuna against Bhishma]
-
A.
battleOccurred
Indicates that a conflict or combat event took place between specified parties at a particular time and/or location.
-
B.
wasKeyBattlegroundDuring
Indicates that a location served as an important site of conflict or struggle during a specified event or period.
-
C.
battleOccurredOn
Indicates that a specific battle took place at or on a particular location or date.
-
D.
battleOccurredNear
Indicates that a battle took place in spatial proximity to a specified location or entity.
-
E.
battleAlsoKnownAs
Indicates that a particular battle is known by an alternative name or names.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53400d548819080b17f30b3ee7174 |
completed | April 19, 2026, 7:58 p.m. |
| PD | Predicate disambiguation | batch_69e469e0025c81908f16ed4f922674af |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2b93bc8190a6070018d7046547 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:37 a.m.