Triple
T26276009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article 155 of the Constitution of India |
E660570
|
entity |
| Predicate | requiresSeal |
P178762
|
FINISHED |
| Object | seal of the President of India |
—
|
NE NERFINISHED |
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: seal of the President of India | Statement: [Article 155 of the Constitution of India, requiresSeal, seal of the President of India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresSeal Context triple: [Article 155 of the Constitution of India, requiresSeal, seal of the President of India]
-
A.
isSealed
Indicates that an entity is closed off or secured so that nothing can enter, exit, or be altered.
-
B.
sealedBy
Indicates that one entity is closed, secured, or made airtight/watertight through the action or presence of another entity.
-
C.
usedSeal
Indicates that an entity has applied or employed a seal (e.g., for closure, authentication, or protection) on another entity.
-
D.
usesSealImage
Indicates that one entity employs or incorporates the seal image of another entity in some context or medium.
-
E.
isSealOf
Indicates that one entity serves as the official seal, emblem, or stamp that authenticates, endorses, or formally represents another entity.
- 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_69ee812960d081909cff6085cc9fa3a6 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71421e8d08190807ccfb15d0f0ddb |
completed | May 3, 2026, 9:23 a.m. |
Created at: April 26, 2026, 9:55 p.m.