Triple
T25258848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yantra India Limited |
E633247
|
entity |
| Predicate | numberOfOrdnanceFactoriesInherited |
P103095
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Yantra India Limited, numberOfOrdnanceFactoriesInherited, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfOrdnanceFactoriesInherited Context triple: [Yantra India Limited, numberOfOrdnanceFactoriesInherited, 8]
-
A.
armamentStations
Indicates a relationship where specific locations or mounts on a platform (such as a vehicle, vessel, or structure) are designated for installing or carrying weapons or armaments.
-
B.
hasMilitaryIndustry
Indicates that an entity possesses or is associated with an industry dedicated to the research, development, production, or maintenance of military equipment, technology, or services.
-
C.
typeOfWeaponsProduced
Indicates the specific categories or kinds of weapons that are manufactured or produced by an entity.
-
D.
armamentCount
chosen
Indicates the number of weapons or armaments associated with an entity.
-
E.
hasProductionFacilitiesIn
Indicates that an entity operates or owns production facilities located within a specified geographic area or jurisdiction.
- 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_69e75a922ad481908f4f1f884583cb42 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6f8565134819096aac0175f924a9f |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
Created at: April 21, 2026, 1:13 p.m.