Triple
T12563462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chanakyapuri |
E295407
|
entity |
| Predicate | hasEmbassyCluster |
P95369
|
FINISHED |
| Object | diplomatic missions to India |
—
|
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: diplomatic missions to India | Statement: [Chanakyapuri, hasEmbassyCluster, diplomatic missions to India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEmbassyCluster Context triple: [Chanakyapuri, hasEmbassyCluster, diplomatic missions to India]
-
A.
hasConsulateOfUnitedStatesIn
Indicates that a consulate of the United States is located in the specified place.
-
B.
haveConsulates
Indicates that one country maintains consular offices or consulates within the territory of another country.
-
C.
hasDiplomaticMission
Indicates that one entity maintains an official diplomatic representation, such as an embassy or mission, in the territory or jurisdiction of another entity.
-
D.
nearbyEmbassyCluster
chosen
Indicates that multiple embassies are located close to each other, forming a geographically concentrated group.
-
E.
hasConsularSection
Indicates that an entity (typically a diplomatic mission or embassy) includes or is associated with a consular section responsible for consular services.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9550d84908190aea0f50055f6d92e |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95414692881909c52a1de7d224b44 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 11:49 p.m.