Triple
T27489628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Usibelli Coal Mine |
E693842
|
entity |
| Predicate | hasCoalReserves |
P113231
|
FINISHED |
| Object |
Healy coal field
The Healy coal field is a significant coal-bearing region in central Alaska known for its extensive subbituminous coal deposits that support local mining operations and power generation.
|
E1776560
|
NE FINISHED |
How this triple was built (3 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: Healy coal field | Statement: [Usibelli Coal Mine, hasCoalReserves, Healy coal field]
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: Healy coal field Triple: [Usibelli Coal Mine, hasCoalReserves, Healy coal field]
Generated description
The Healy coal field is a significant coal-bearing region in central Alaska known for its extensive subbituminous coal deposits that support local mining operations and power generation.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoalReserves Context triple: [Usibelli Coal Mine, hasCoalReserves, Healy coal field]
-
A.
hasCoalBasin
Indicates that one entity contains, includes, or is characterized by a coal-bearing geological basin associated with the other entity.
-
B.
hasCoalMineNearby
Indicates that a location or entity is situated close to at least one coal mine.
-
C.
hasCoalMiningCompany
Indicates that an entity is associated with or owns a company whose primary business is coal mining.
-
D.
hasCoalMiningHistory
Indicates that an entity has a past or ongoing involvement in coal mining activities or industry.
-
E.
isCoalBearing
chosen
Indicates that the subject contains or is associated with coal deposits or coal-bearing formations.
- F. None of above.
Provenance (6 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_69ef5382b9648190be0b1ef2ad5d043c |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69ff109695008190a22b47ef8be2e3f9 |
completed | May 9, 2026, 10:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12bbeea53081909e5bb5854989d522 |
completed | May 24, 2026, 8:50 a.m. |
| NEDg | Description generation | batch_6a12be271e6c819092522780e794946d |
completed | May 24, 2026, 9 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12be8658608190ba55a4cb196a39ce |
completed | May 24, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69ff0f243ea88190970d2c520b55c816 |
completed | May 9, 2026, 10:40 a.m. |
Created at: April 27, 2026, 1:04 p.m.