Triple
T3093288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bigelow Middle School |
E64532
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Newton |
E200
|
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: Newton | Statement: [Bigelow Middle School, city, Newton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Newton Context triple: [Bigelow Middle School, city, Newton]
-
A.
Newton
Newton is a common English surname most famously associated with figures such as physicist Sir Isaac Newton and activist Huey P. Newton.
-
B.
Newton
chosen
Newton is a suburban city in Massachusetts known for its residential neighborhoods, strong public schools, and proximity to Boston.
-
C.
Newton
Newton is a small settlement in West Lothian, Scotland, known primarily as a residential village within the Edinburgh commuter belt.
-
D.
Isaac Newton
Isaac Newton was a 17th-century English mathematician, physicist, and natural philosopher whose formulation of classical mechanics and universal gravitation laid the foundations of modern science.
-
E.
Old Newton
Old Newton is a small rural village and civil parish located in the English county of Suffolk.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada23876a4819095bfc28640d8c200 |
completed | March 8, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24b2a9b648190a74c7691cc7a4959 |
completed | March 12, 2026, 5:12 a.m. |
Created at: March 8, 2026, 3:03 p.m.