Triple
T8295714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turner, Maine |
E194209
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Turner Center, Maine |
E194209
|
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: Turner Center, Maine | Statement: [Turner, Maine, hasVillage, Turner Center, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turner Center, Maine Context triple: [Turner, Maine, hasVillage, Turner Center, Maine]
-
A.
Turner, Maine
chosen
Turner, Maine is a small rural town in the western part of the state known for its agricultural character and scenic setting along the Androscoggin River.
-
B.
Mattapoisett Center
Mattapoisett Center is the main village and historic downtown area of the coastal town of Mattapoisett in southeastern Massachusetts.
-
C.
Castle Hill, Maine
Castle Hill, Maine is a small rural town in northern Maine known for its agricultural landscape and location within Aroostook County.
-
D.
Westfield, Maine
Westfield, Maine is a small rural town located in northern Maine within Aroostook County.
-
E.
Mount Vernon, Maine
Mount Vernon, Maine is a small rural town in central Maine known for its lakes, forests, and outdoor recreation, located within Kennebec County.
- 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_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7df73d4c81909ad9cf0786eb5a20 |
completed | March 31, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd952e038c819090023cbcdab1e3ae |
completed | April 1, 2026, 9:59 p.m. |
Created at: March 30, 2026, 5:53 p.m.