Triple
T10683401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cereal City |
E251812
|
entity |
| Predicate | appliesToPopulationCenterType |
P90780
|
FINISHED |
| Object | city |
—
|
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: city | Statement: [Cereal City, appliesToPopulationCenterType, city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToPopulationCenterType Context triple: [Cereal City, appliesToPopulationCenterType, city]
-
A.
appliesToPopulationCenter
Indicates that something (such as a rule, condition, or characteristic) is relevant or applicable to a specific population center (e.g., a city, town, or urban area).
-
B.
hasPopulationCenterType
Indicates the classification of a population center by its type, such as city, town, village, or other settlement category.
-
C.
hasPopulationCentreFunction
Indicates that an entity serves as a population centre, fulfilling functions related to the concentration, residence, and support of a population.
-
D.
hasPopulationCenter
Indicates that an area, region, or administrative unit contains or is served by a primary settlement or population hub.
-
E.
appliesToUrbanAreaType
chosen
Indicates that something (such as a rule, measure, or classification) is applicable specifically to a particular type or category of urban area.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc43b9481908f35490db93db76c |
completed | April 9, 2026, 1:11 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8cc0788190b4c02a772e4b58b3 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:10 p.m.