Triple
T25887883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinhagad Road |
E652240
|
entity |
| Predicate | hasNearbyEducationalInstitutionCluster |
P84383
|
FINISHED |
| Object | engineering colleges |
—
|
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: engineering colleges | Statement: [Sinhagad Road, hasNearbyEducationalInstitutionCluster, engineering colleges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyEducationalInstitutionCluster Context triple: [Sinhagad Road, hasNearbyEducationalInstitutionCluster, engineering colleges]
-
A.
hasNearbyInstitutionCluster
Indicates that an entity is located close to a concentrated group of related institutions (such as schools, hospitals, or research centers).
-
B.
hasNearbyInstitution
Indicates that one entity is located close to or in the immediate vicinity of an institution.
-
C.
hasNearbyInstitutionType
chosen
Indicates that an entity has at least one institution of a specified type located in its nearby geographic vicinity.
-
D.
campusProximity
Indicates that one entity is located near, adjacent to, or within a short distance of a campus associated with the other entity.
-
E.
containsEducationalInstitution
Indicates that one entity geographically or administratively includes or encompasses an educational institution within its boundaries or structure.
- 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_69e7ab3b92cc81908febd90317862647 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 22, 2026, 8:18 a.m.