Triple
T25276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Branch, Iowa |
E504
|
entity |
| Predicate | countySeatOf |
P383
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [West Branch, Iowa, countySeatOf, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countySeatOf Context triple: [West Branch, Iowa, countySeatOf, none]
-
A.
countySeat
chosen
Indicates that one place serves as the administrative center or capital of a county.
-
B.
capitalCityOfStateInRegion
Indicates that a city serves as the capital of a state that is located within a specified region.
-
C.
capitalCityEstablished
Indicates that a particular city was officially designated or founded as the capital of a political or administrative entity.
-
D.
seatOfGovernment
Indicates that a location serves as the administrative center where a government exercises its official authority and conducts its primary governing functions.
-
E.
hasCityHall
Indicates that a location or administrative area possesses or is served by a specific city hall building or institution.
- 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_69a243b4ac2c8190b93c303df797b7b2 |
completed | Feb. 28, 2026, 1:24 a.m. |
| NER | Named-entity recognition | batch_69a246d794448190bb2844fcd0538eaa |
completed | Feb. 28, 2026, 1:37 a.m. |
| PD | Predicate disambiguation | batch_69a24657635881908f3415bc1bdfa1b5 |
completed | Feb. 28, 2026, 1:35 a.m. |
Created at: Feb. 28, 2026, 1:34 a.m.