Triple
T7525997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerro Armazones |
E177892
|
entity |
| Predicate | constructionActivity |
P39476
|
FINISHED |
| Object | mountaintop reshaped for ELT platform |
—
|
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: mountaintop reshaped for ELT platform | Statement: [Cerro Armazones, constructionActivity, mountaintop reshaped for ELT platform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructionActivity Context triple: [Cerro Armazones, constructionActivity, mountaintop reshaped for ELT platform]
-
A.
involvesConstructionActivity
chosen
Indicates that an entity is engaged in, associated with, or includes some form of construction-related work or activity.
-
B.
constructionSite
Indicates that an entity is a location or area where construction work is actively taking place or is planned to occur.
-
C.
constructionDirection
Indicates the orientation or path along which a structure is built or assembled.
-
D.
constructionLabor
Indicates a relationship where an entity performs or provides labor specifically for construction-related work or projects.
-
E.
constructionType
Indicates the specific method or style by which something is built or constructed.
- 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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f7c7ac5c8190bbf9befdff791de0 |
completed | March 27, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d6bb808190bdd04499fd3bceb6 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:46 p.m.