Triple
T18304022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penobscot River watershed |
E438434
|
entity |
| Predicate | includesTown |
P847
|
FINISHED |
| Object | Veazie |
—
|
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: Veazie | Statement: [Penobscot River watershed, includesTown, Veazie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veazie Context triple: [Penobscot River watershed, includesTown, Veazie]
-
A.
Veazie
chosen
Veazie is a small town in Penobscot County, Maine, situated along the Penobscot River near the city of Bangor.
-
B.
Taghmon
Taghmon is a village in County Wexford, Ireland, known for its historic ecclesiastical roots and rural community character.
-
C.
Zalmon
Zalmon is a masculine given name of Hebrew origin, historically borne by several American businessmen and public figures.
-
D.
Nepheg
Nepheg is a minor biblical figure mentioned in the Old Testament genealogies as part of King David’s extended family line.
-
E.
Vayentha
Vayentha is a ruthless assassin and primary antagonist in Dan Brown's novel and film adaptation "Inferno."
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5018256508190b024980e3a4a3ae9 |
completed | April 19, 2026, 4:23 p.m. |
Created at: April 10, 2026, 10:35 a.m.