Triple
T4400621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moradabad |
E93604
|
entity |
| Predicate | geonamesFeatureClass |
P17163
|
FINISHED |
| Object | P (populated place) |
—
|
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: P (populated place) | Statement: [Moradabad, geonamesFeatureClass, P (populated place)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geonamesFeatureClass Context triple: [Moradabad, geonamesFeatureClass, P (populated place)]
-
A.
GNISFeatureClass
Indicates the categorical type or class assigned to a geographic feature in the Geographic Names Information System (GNIS).
-
B.
regionClassification
Indicates how a given area or location is categorized into a specific region based on defined criteria or boundaries.
-
C.
typeOfToponym
chosen
Indicates the specific category or kind of place name (toponym) that applies to a given geographic entity.
-
D.
politicalFeature
Indicates that an entity possesses a political characteristic, attribute, or aspect relevant to governance, power structures, or public policy.
-
E.
refersToGeographicFeature
Indicates that one entity makes reference to, denotes, or is associated with a specific geographic feature such as a landform, body of water, or other physical location.
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b352cd71ec8190a62320fd072f744f |
completed | March 12, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69b34f597998819092477efdedb51427 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:28 p.m.