Triple
T28822619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Govindpuri |
E727810
|
entity |
| Predicate | hasNearbyEducationalHub |
P150552
|
FINISHED |
| Object | Nehru Place coaching centres |
—
|
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: Nehru Place coaching centres | Statement: [Govindpuri, hasNearbyEducationalHub, Nehru Place coaching centres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyEducationalHub Context triple: [Govindpuri, hasNearbyEducationalHub, Nehru Place coaching centres]
-
A.
hasNearbyInstitution
Indicates that one entity is located close to or in the immediate vicinity of an institution.
-
B.
hasNearbyInstitutionType
Indicates that an entity has at least one institution of a specified type located in its nearby geographic vicinity.
-
C.
hasNearbyInstitutionCluster
chosen
Indicates that an entity is located close to a concentrated group of related institutions (such as schools, hospitals, or research centers).
-
D.
locatedInEducationalHub
Indicates that an entity is situated within a place recognized as a center or hub of educational activity or institutions.
-
E.
containsEducationalHub
Indicates that one entity includes or hosts an educational hub (such as a learning center, school, or training facility) within its scope or boundaries.
- 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_69f0319d09088190bbf14cdf1987792a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69fdd07a34c08190982b8c61c2775cf6 |
completed | May 8, 2026, noon |
| PD | Predicate disambiguation | batch_69fdbd25c7908190b72fca8de7ce503f |
completed | May 8, 2026, 10:38 a.m. |
Created at: April 28, 2026, 6:35 a.m.