Triple
T8359201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamla Nehru Hospital |
E196760
|
entity |
| Predicate | hasNamesakeRelation |
P69813
|
FINISHED |
| Object | wife of India’s first Prime Minister |
—
|
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: wife of India’s first Prime Minister | Statement: [Kamla Nehru Hospital, hasNamesakeRelation, wife of India’s first Prime Minister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNamesakeRelation Context triple: [Kamla Nehru Hospital, hasNamesakeRelation, wife of India’s first Prime Minister]
-
A.
hasEponymFamilyRelation
chosen
Indicates that one entity is named after another entity to which it is related by family or kinship.
-
B.
hasGenealogicalRelation
Indicates that there exists a family or ancestry-based relationship (such as parent, child, sibling, or more distant kinship) between the related entities.
-
C.
hasHonorificNamesake
Indicates that an entity is named in honor of another entity, serving as a namesake that recognizes or commemorates the other.
-
D.
isRelatedName
Indicates that one name is connected to another through a variant, derivative, or otherwise non-identical but related naming relationship.
-
E.
hasFamousNamesake
Indicates that an entity shares its name with another well-known or notable 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb807134008190b4671326e0414210 |
completed | March 31, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69cb70ca25548190b0f90c5384e3fb3c |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6 p.m.