Triple
T3586621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newton, Massachusetts |
E75924
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Waban |
E74135
|
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: Waban | Statement: [Newton, Massachusetts, hasPart, Waban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waban Context triple: [Newton, Massachusetts, hasPart, Waban]
-
A.
Waban
chosen
Waban is a village in the city of Newton, Massachusetts, known for its residential character and Green Line D branch MBTA station.
-
B.
Lake River
Lake River is a tributary waterway in southwestern Washington State that connects Vancouver Lake to the Columbia River.
-
C.
Clam River
Clam River is a smaller river in Michigan that serves as a tributary within the Muskegon River watershed.
-
D.
Mattagami River
The Mattagami River is a major river in northeastern Ontario, Canada, that flows southward through several communities and supports hydroelectric power generation before joining the Moose River system.
-
E.
Vuoksi River
The Vuoksi River is a major waterway in northwestern Russia and southeastern Finland, known for connecting Lake Saimaa to Lake Ladoga and playing a key historical and economic role in the region.
- 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc137eb708190809cd52b6deb227c |
completed | March 8, 2026, 6:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5db5d2fcc8190818b79d873cebcf6 |
completed | March 14, 2026, 10:04 p.m. |
Created at: March 8, 2026, 3:22 p.m.