Triple
T9363556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ainsworth, Iowa |
E225337
|
entity |
| Predicate | nearestMajorCityRelation |
P1982
|
FINISHED |
| Object | near Iowa City, Iowa |
—
|
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: near Iowa City, Iowa | Statement: [Ainsworth, Iowa, nearestMajorCityRelation, near Iowa City, Iowa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestMajorCityRelation Context triple: [Ainsworth, Iowa, nearestMajorCityRelation, near Iowa City, Iowa]
-
A.
nearestMajorCity
chosen
Indicates that one city is the closest significant urban center to another location or city compared to all other major cities.
-
B.
majorCityNearMouth
Indicates that a major city is located close to the mouth (outflow point) of a river.
-
C.
hasNearbyMajorCityCountry
Indicates that an entity has a nearby major city located in the specified country.
-
D.
largestNearbyCity
Indicates that one city is the largest (by population, area, or another defined metric) among the cities located within a specified nearby region of another place or city.
-
E.
countryCapitalNearby
Indicates that a country’s capital city is geographically close to a specified location or entity.
- 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_69ca842bdd648190904131d58620d448 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd503ddf8c81908b090afa54ec5e6d |
completed | April 1, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69cc7a6abb8c81908c7a2f4ee92cc949 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:42 p.m.