Triple
T7029796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navodaya Vidyalaya Kavaratti |
E163240
|
entity |
| Predicate | hostelFacility |
P12416
|
FINISHED |
| Object | available |
—
|
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: available | Statement: [Navodaya Vidyalaya Kavaratti, hostelFacility, available]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostelFacility Context triple: [Navodaya Vidyalaya Kavaratti, hostelFacility, available]
-
A.
campusFacility
Indicates that one entity is a facility that is located on or belongs to a particular campus.
-
B.
partOfFacility
Indicates that one entity is a component, section, or sub-unit belonging to a larger facility.
-
C.
campusFacilityType
Indicates the specific kind of facility a campus location is classified as (e.g., library, laboratory, residence hall).
-
D.
associatedSpaceFacility
Indicates that there is a relationship linking an entity to a specific space-related facility with which it is connected or involved.
-
E.
hasFacilities
chosen
Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e458ad9c81908c3f492b317ce291 |
completed | March 27, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b9a2488190aea351d96afa5a12 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:35 p.m.