Triple
T6008503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerro Rico |
E133772
|
entity |
| Predicate | laborSystemUsed |
P3027
|
FINISHED |
| Object | mita |
—
|
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: mita | Statement: [Cerro Rico, laborSystemUsed, mita]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laborSystemUsed Context triple: [Cerro Rico, laborSystemUsed, mita]
-
A.
laborSystem
chosen
Indicates the type or structure of work organization, employment arrangements, and labor relations that govern how work is performed and managed.
-
B.
laborNumber
Indicates a relationship where a specific labor or work assignment is identified or referenced by a unique number.
-
C.
laborSet
Indicates that a particular labor, task, or work assignment has been designated or scheduled for an entity or context.
-
D.
laborContext
Indicates the labor-related circumstances, conditions, or setting within which an action, relationship, or event takes place.
-
E.
laborProvision
Indicates the provision or supply of labor or workforce from one party to another for work or services.
- 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f154ca481909431baf4feecc16d |
completed | March 22, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69c049e4daf4819099bf870dc700e0a2 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:06 p.m.