Triple
T774363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sparks |
E16353
|
entity |
| Predicate | isInMetropolitanAreaRank |
P19632
|
FINISHED |
| Object | one of the main cities in northern Nevada |
—
|
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: one of the main cities in northern Nevada | Statement: [Sparks, isInMetropolitanAreaRank, one of the main cities in northern Nevada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInMetropolitanAreaRank Context triple: [Sparks, isInMetropolitanAreaRank, one of the main cities in northern Nevada]
-
A.
hasMetropolitanAreaName
Indicates that an entity is associated with a metropolitan area identified by a specific name.
-
B.
representsMetropolitanArea
Indicates that one entity serves as or corresponds to the metropolitan area associated with another entity.
-
C.
isGlobalCityRank
Indicates the relative position or ranking of a city within a global hierarchy of cities based on specified criteria.
-
D.
hasMetropolitan
Indicates that an entity is associated with, served by, or located within a specific metropolitan area.
-
E.
hasMetropolitanCounty
Indicates that an entity is associated with, located within, or administered by a specific metropolitan county.
- F. None of above. chosen
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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a74da7648190adfad56717d564df |
completed | March 1, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69a4a50a443481909ae3662764ee69a4 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a74c81bc81909f4ac9c1677b09c2 |
completed | March 1, 2026, 8:53 p.m. |
Created at: March 1, 2026, 7:37 p.m.