Triple
T29416476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rohtak |
E746040
|
entity |
| Predicate | nationalCapitalProximity |
P33891
|
FINISHED |
| Object | near New Delhi |
—
|
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: near New Delhi | Statement: [Rohtak, nationalCapitalProximity, near New Delhi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalCapitalProximity Context triple: [Rohtak, nationalCapitalProximity, near New Delhi]
-
A.
stateCapitalProximity
Indicates the spatial closeness or distance between a state’s capital city and another specified location.
-
B.
regionCapitalNearby
Indicates that a capital city of a region is located close to the referenced place or entity.
-
C.
isNearCapitalCity
Indicates that an entity is located close to, or in the immediate vicinity of, a capital city.
-
D.
distanceFromCapital
Indicates the measured distance between a given location and the capital city of its corresponding region or country.
-
E.
countryCapitalNearby
chosen
Indicates that a country’s capital city is geographically close to a specified location or entity.
- 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_69f0a79f6d5c8190a350baed0157e06f |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
Created at: April 28, 2026, 3:01 p.m.