Triple
T8642001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahd adh Dhahab |
E204672
|
entity |
| Predicate | hasOreType |
P64308
|
FINISHED |
| Object | epithermal gold deposit |
—
|
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: epithermal gold deposit | Statement: [Mahd adh Dhahab, hasOreType, epithermal gold deposit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOreType Context triple: [Mahd adh Dhahab, hasOreType, epithermal gold deposit]
-
A.
hasMiningCommodity
chosen
Indicates that an entity is associated with, produces, or contains a specific mining-related commodity.
-
B.
hasDuneType
Indicates that one entity is characterized by or associated with a specific type or classification of dune.
-
C.
hasMineType
Indicates that an entity is associated with or characterized by a specific type or category of mine.
-
D.
hasMaterialType
Indicates that something is composed of, made from, or characterized by a specific type of material.
-
E.
hasMineral
Indicates that one entity contains, includes, or is composed of a specified mineral.
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4795b07081908bfc9ebf35a50f07 |
completed | March 31, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69cc455d6d448190a2da2a319ac78c37 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:28 p.m.