Triple
T13234544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yorkshire coalfield |
E315109
|
entity |
| Predicate | majorMiningTowns |
P105974
|
FINISHED |
| Object |
Hatfield
Hatfield is a former coal mining town in South Yorkshire, England, historically associated with the Yorkshire coalfield.
|
E1029684
|
NE FINISHED |
How this triple was built (4 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: Hatfield | Statement: [Yorkshire coalfield, majorMiningTowns, Hatfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hatfield Context triple: [Yorkshire coalfield, majorMiningTowns, Hatfield]
-
A.
Hatfield
Hatfield is a surname most prominently associated with Mark O. Hatfield, a long-serving U.S. senator and governor from Oregon.
-
B.
Hatfield
Hatfield is a historic town in Hertfordshire, England, known for Hatfield House and its strong connections to Tudor and Stuart royal history.
-
C.
Carlisle
Carlisle is a historic borough in south-central Pennsylvania known for its military education institutions, colonial heritage, and role in the American Revolutionary era.
-
D.
Carlisle
Carlisle is a historic cathedral city and county town of Cumbria in North West England, near the Scottish border.
-
E.
Carlisle
Carlisle is a small city located in central Iowa, United States, known for its close-knit community and proximity to the Des Moines metropolitan area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hatfield Triple: [Yorkshire coalfield, majorMiningTowns, Hatfield]
Generated description
Hatfield is a former coal mining town in South Yorkshire, England, historically associated with the Yorkshire coalfield.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hatfield Target entity description: Hatfield is a former coal mining town in South Yorkshire, England, historically associated with the Yorkshire coalfield.
-
A.
Hatfield
Hatfield is a surname most prominently associated with Mark O. Hatfield, a long-serving U.S. senator and governor from Oregon.
-
B.
Hatfield
Hatfield is a historic town in Hertfordshire, England, known for Hatfield House and its strong connections to Tudor and Stuart royal history.
-
C.
Carlisle
Carlisle is a historic cathedral city and county town of Cumbria in North West England, near the Scottish border.
-
D.
Carlisle
Carlisle is a historic borough in south-central Pennsylvania known for its military education institutions, colonial heritage, and role in the American Revolutionary era.
-
E.
Carlisle
Carlisle is a small city located in central Iowa, United States, known for its close-knit community and proximity to the Des Moines metropolitan area.
- F. None of above. chosen
Provenance (5 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f71c5388190a6e122e14384efd7 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2dca2c81909cab1aa868ad575d |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f70476310c8190b13dc948c1f1ce95 |
completed | May 3, 2026, 8:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70578047c819089fc3044eceb4eac |
completed | May 3, 2026, 8:21 a.m. |
Created at: April 9, 2026, 9:22 p.m.