Triple
T13358982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kent coalfield |
E318772
|
entity |
| Predicate | hasMiningCommunity |
P42429
|
FINISHED |
| Object | Chislet |
E676559
|
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: Chislet | Statement: [Kent coalfield, hasMiningCommunity, Chislet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chislet Context triple: [Kent coalfield, hasMiningCommunity, Chislet]
-
A.
Chislet
chosen
Chislet is a rural village and civil parish in Kent, England, known for its historic church and countryside setting near Canterbury.
-
B.
Chasiempis
Chasiempis is a genus of Hawaiian birds in the monarch flycatcher family, known for species such as the ʻelepaio.
-
C.
Chakosi
Chakosi is a Gur language spoken primarily by the Chakosi (Anufo) people in parts of Ghana, Togo, and Benin.
-
D.
Klichaw
Klichaw is a small town in eastern Belarus known for its rural character and location within the Mogilev Region.
-
E.
Achagua
Achagua are an Indigenous people of the Orinoco region in Colombia and Venezuela, traditionally known for their riverine lifestyle, agriculture, and distinct Arawakan language.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae47e99081909d8b5dba97a11988 |
completed | April 12, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7267ab580819091577c24dd952c99 |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:32 p.m.