Triple
T15184369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milford, New Hampshire |
E362828
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Granite Town |
E718272
|
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: Granite Town | Statement: [Milford, New Hampshire, nickname, Granite Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Granite Town Context triple: [Milford, New Hampshire, nickname, Granite Town]
-
A.
The Granite Town
chosen
The Granite Town is the nickname of Milford, New Hampshire, reflecting its historical prominence in the region’s granite quarrying industry.
-
B.
Stone City
Stone City is an ancient walled city and historic fortification area that forms part of the old core of Nanjing, China.
-
C.
Stone City
Stone City is the nickname of Tenino, Washington, reflecting its historic sandstone quarrying and stone-carving heritage.
-
D.
Sugar City
Sugar City is the popular nickname for Lautoka, a major Fijian city renowned for its prominent sugar industry and large sugar mill.
-
E.
Sugar City
Sugar City is the nickname of Victorias, a city in the Philippines renowned for its large sugar industry and sugarcane plantations.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006674c088190ba635a78c30f5637 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec893f1e08190a192b7b9b80484e8 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:09 a.m.