Triple
T9668558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holme-on-Spalding-Moor |
E233767
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Market Weighton |
E406113
|
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: Market Weighton | Statement: [Holme-on-Spalding-Moor, locatedNear, Market Weighton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Market Weighton Context triple: [Holme-on-Spalding-Moor, locatedNear, Market Weighton]
-
A.
Market Weighton
chosen
Market Weighton is a small historic market town in the East Riding of Yorkshire, England, known for its agricultural heritage and location in the Yorkshire Wolds.
-
B.
Weis
Weis is a surname most prominently associated with Charlie Weis, an American football coach known for his tenure with the Notre Dame Fighting Irish and in the NFL.
-
C.
Gravity Bar
Gravity Bar is the panoramic rooftop bar at the Guinness Storehouse in Dublin, renowned for its 360-degree city views and pints of Guinness.
-
D.
Massa
Massa is a small coastal town in southern Morocco known for its proximity to the Souss-Massa National Park and its traditional Berber culture.
-
E.
Massa
Massa is a biblical figure listed among the descendants of Ishmael in the Hebrew Bible.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c3d5b3481908c8c66a3528875aa |
completed | April 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a208798819088db055e44d288e3 |
completed | April 4, 2026, 10:01 p.m. |
Created at: March 30, 2026, 8:15 p.m.