Triple
T6973779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ARM Coal |
E161662
|
entity |
| Predicate | exploresFor |
P73593
|
FINISHED |
| Object | coal resources |
—
|
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 resources | Statement: [ARM Coal, exploresFor, coal resources]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exploresFor Context triple: [ARM Coal, exploresFor, coal resources]
-
A.
explores
Indicates actively investigating, traveling through, or examining something in order to discover or learn more about it.
-
B.
explored
Indicates that an entity has traveled through, examined, or investigated another entity or area, typically to discover or learn more about it.
-
C.
exploredWith
Indicates that one entity explored something together with another entity as companions or partners in the exploration.
-
D.
explorer
Indicates that an entity engages in the activity of exploring or investigating places, ideas, or domains.
-
E.
exploredDuring
Indicates that an entity was explored or investigated within the time frame or context of a specified event or period.
- F. None of above. chosen
Provenance (4 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db3aad108190b19df2d21f5ce168 |
completed | March 27, 2026, 7:32 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c262508190a7708b3d9cf23d7c |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8e2d7b48190b37bb13984663cde |
completed | March 27, 2026, 7:22 p.m. |
Created at: March 27, 2026, 2:30 p.m.