Triple
T15282983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of the Good Shepherd (Episcopal) |
E365317
|
entity |
| Predicate | locatedIn |
P40
|
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: [Church of the Good Shepherd (Episcopal), locatedIn, Waban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waban Context triple: [Church of the Good Shepherd (Episcopal), locatedIn, 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.
Clear River
Clear River is a Canadian waterway that serves as a tributary of the Peace River within the Peace River watershed.
-
C.
Clear River
Clear River is a small river in Rhode Island that flows through the town of Burrillville and contributes to the region’s local watershed and natural landscape.
-
D.
Maple River
Maple River is a freshwater river in central Michigan known for flowing through rural landscapes and supporting local recreation and wildlife habitats.
-
E.
Thief River
Thief River is a tributary stream in northwestern Minnesota that flows into the Red Lake River and helps drain the surrounding agricultural and wetland areas.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e51f82081909f63d14b589d5587 |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009183a94081909c5892b1ccbc1d7a |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 3:15 a.m.