Triple
T21331950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Hampshire Route 151 |
E525926
|
entity |
| Predicate | terminusTown |
P1866
|
FINISHED |
| Object | Greenland, New Hampshire |
—
|
NE NERFINISHED |
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: Greenland, New Hampshire | Statement: [New Hampshire Route 151, terminusTown, Greenland, New Hampshire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenland, New Hampshire Context triple: [New Hampshire Route 151, terminusTown, Greenland, New Hampshire]
-
A.
Greenland, New Hampshire
chosen
Greenland, New Hampshire is a small New England town in Rockingham County known for its historic character and proximity to the Seacoast region.
-
B.
Westmanland, Maine
Westmanland, Maine is a small rural town located in northern Maine within Aroostook County.
-
C.
Norway, Maine
Norway, Maine is a small New England town known for its historic downtown, lakes and outdoor recreation, located in western Maine.
-
D.
Greenland USA
Greenland USA is a real estate development company known for its major role in large-scale urban projects in the United States, including high-profile mixed-use developments.
-
E.
Freedom, Maine
Freedom, Maine is a small rural town in central Maine known for its scenic countryside and tight-knit community.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab54706081909445f9cd91a43788 |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 16, 2026, 4:42 p.m.