Triple
T9044477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huntington County region |
E216719
|
entity |
| Predicate | includesCommunity |
P8617
|
FINISHED |
| Object | Mount Etna, Indiana |
E774272
|
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: Mount Etna, Indiana | Statement: [Huntington County region, includesCommunity, Mount Etna, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Etna, Indiana Context triple: [Huntington County region, includesCommunity, Mount Etna, Indiana]
-
A.
Mount Etna, Indiana
chosen
Mount Etna, Indiana is a small rural town located in Huntington County in the northeastern part of the state.
-
B.
Etna, Pennsylvania
Etna, Pennsylvania is a small borough in Allegheny County near Pittsburgh, historically known as an industrial mill town along the banks of Chartiers Creek.
-
C.
Mount Ida
Mount Ida is the tallest mountain on the Greek island of Crete, renowned in Greek mythology as a sacred site associated with the upbringing of Zeus.
-
D.
Etna, New Hampshire
Etna, New Hampshire is a small village within the town of Hanover known for its rural character and close-knit community.
-
E.
Etna, Maine
Etna, Maine is a small rural town in Penobscot County known for its quiet residential character and location along major east–west travel routes in central Maine.
- 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_69ca83d22d488190adbce5e020e9cd1d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b137cec8190bd1b812c10d9542a |
completed | April 1, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffdb868e48190b9d193025cb5b9a2 |
completed | April 3, 2026, 5:49 p.m. |
Created at: March 30, 2026, 7:09 p.m.