Triple
T5369215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crowley County, Colorado |
E108803
|
entity |
| Predicate | countyNumberInColorado |
P63602
|
FINISHED |
| Object | 27 |
—
|
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: 27 | Statement: [Crowley County, Colorado, countyNumberInColorado, 27]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countyNumberInColorado Context triple: [Crowley County, Colorado, countyNumberInColorado, 27]
-
A.
rankByPopulationInColorado
Indicates the relative ordering of entities based on their population size within the state of Colorado.
-
B.
countyNumberInStateFormation
Indicates the ordinal position a county held among all counties created within a particular state at the time of that state's formation.
-
C.
numberPerCounty
Indicates the quantity or count of something associated with each individual county.
-
D.
hasCountyNumberInSouthDakota
Indicates that an entity is associated with a specific officially assigned county number within the state of South Dakota.
-
E.
hasNumberOfCounties
Indicates the relationship that specifies how many counties are associated with or contained within a given entity.
- 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd88801b188190b9ac35ed89167fa3 |
completed | March 20, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69bd846172788190969f24bc7503c05e |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd887f5b0081909456992d1a071928 |
completed | March 20, 2026, 5:48 p.m. |
Created at: March 20, 2026, 2:02 p.m.