Triple
T21073826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honorary Consulate of India |
E519179
|
entity |
| Predicate | operatesInLocationType |
P52430
|
FINISHED |
| Object | cities without full Indian embassy |
—
|
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: cities without full Indian embassy | Statement: [Honorary Consulate of India, operatesInLocationType, cities without full Indian embassy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesInLocationType Context triple: [Honorary Consulate of India, operatesInLocationType, cities without full Indian embassy]
-
A.
operatesOnSiteType
chosen
Indicates that an entity conducts its operations or activities at, or in association with, a specified type of site or location.
-
B.
operationLocation
Indicates the place or site where an operation, activity, or process is carried out.
-
C.
alsoOperatesIn
Indicates that an entity, in addition to its primary location or domain, conducts operations or activities in another specified place or context.
-
D.
operatesWithin
Indicates that one entity carries out its activities, functions, or operations inside the scope, boundaries, or jurisdiction defined by another entity.
-
E.
operatesInTown
Indicates that an entity conducts its activities, business, or operations within a particular town.
- 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_69e0b506e59c8190849b71ed07929215 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e702d491a08190a9f5f28c0b72d38c |
completed | April 21, 2026, 4:53 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:48 p.m.