Triple
T16156977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coal River |
E392069
|
entity |
| Predicate | influencedSettlement |
P1563
|
FINISHED |
| Object | coal towns in Boone County, West Virginia |
—
|
LITERAL 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: coal towns in Boone County, West Virginia | Statement: [Coal River, influencedSettlement, coal towns in Boone County, West Virginia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedSettlement Context triple: [Coal River, influencedSettlement, coal towns in Boone County, West Virginia]
-
A.
inspiredSettlement
chosen
Indicates that one entity’s ideas, actions, or example motivated or influenced the creation, development, or characteristics of a particular settlement.
-
B.
placeOfInfluence
Indicates the location or area where an entity exerts significant impact, authority, or cultural, social, or intellectual influence.
-
C.
cityOfInfluence
Indicates the city that significantly shapes, impacts, or exerts influence over a given entity.
-
D.
influencesRegion
Indicates that one entity has an effect on, shapes, or alters the conditions, characteristics, or behavior of a specified region.
-
E.
hasHumanSettlement
Indicates that a location or area contains or is the site of a human settlement, such as a town, village, or city.
- F. None of above.
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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5b57a48190b6fe21f1c63e1ba3 |
completed | April 17, 2026, 11:49 a.m. |
| PD | Predicate disambiguation | batch_69e1828abb608190a99d86bce1d77de2 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.