Triple
T8750787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Iowa |
E207951
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Brooklyn, Iowa |
E230130
|
NE 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: Brooklyn, Iowa | Statement: [Central Iowa, hasCity, Brooklyn, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brooklyn, Iowa Context triple: [Central Iowa, hasCity, Brooklyn, Iowa]
-
A.
Brooklyn, Iowa
chosen
Brooklyn, Iowa is a small rural city in central Iowa known for its numerous flag displays and nickname "Community of Flags."
-
B.
Bedford, Iowa
Bedford, Iowa is a small city that serves as the county seat of Taylor County in southwestern Iowa.
-
C.
Brighton, Iowa
Brighton, Iowa is a small rural city located in southeastern Iowa within Washington County.
-
D.
Washington, Iowa
Washington, Iowa is a small city in southeastern Iowa known for its historic downtown, agricultural surroundings, and role as a local commercial and cultural hub.
-
E.
Oakland, Iowa
Oakland, Iowa is a small rural city in southwestern Iowa known for its agricultural community and location along the West Nishnabotna River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5da774f4819099e5bfd12973d946 |
completed | March 31, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf431db5a88190a579b43370a8e887 |
completed | April 3, 2026, 4:33 a.m. |
Created at: March 30, 2026, 6:39 p.m.