Triple
T36688468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jawaharlal Nehru University Act 1966 |
E905890
|
entity |
| Predicate | locationDefinedAs |
P90717
|
FINISHED |
| Object | New Delhi |
E3459
|
NE 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: New Delhi | Statement: [Jawaharlal Nehru University Act 1966, locationDefinedAs, New Delhi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationDefinedAs Context triple: [Jawaharlal Nehru University Act 1966, locationDefinedAs, New Delhi]
-
A.
definesLocation
Indicates that one entity specifies or establishes the spatial or geographic position of another entity.
-
B.
locationWhenGiven
Indicates the place where an entity is located at the time it is given or transferred to another entity.
-
C.
geographicallyDefinedAs
chosen
Indicates that one entity’s geographic extent, boundaries, or location is defined or characterized in terms of another geographic entity.
-
D.
locationPresented
Indicates that a specific location is presented or shown to an entity (such as a user or system) within a given context.
-
E.
locationFormed
Indicates the place or geographic area where an entity (such as an organization, group, or structure) was originally established or came into existence.
- F. None of above.
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_69f76e70d2448190bdd3ce781ba971c5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3d178870888190b0015bf445f30dc8 |
completed | June 25, 2026, 11:56 a.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:12 p.m.