Triple
T2415551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llullaillaco |
E52292
|
entity |
| Predicate | hasSummitTemperature |
P8667
|
FINISHED |
| Object | very low mean annual temperature |
—
|
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: very low mean annual temperature | Statement: [Llullaillaco, hasSummitTemperature, very low mean annual temperature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSummitTemperature Context triple: [Llullaillaco, hasSummitTemperature, very low mean annual temperature]
-
A.
hasSummit
Indicates that one entity possesses, features, or includes a summit or highest point as part of its structure or characteristics.
-
B.
hasSummitFacility
Indicates that one entity possesses or provides a facility or infrastructure located at the summit of another entity (such as a mountain, hill, or peak).
-
C.
averageSummitTemperature
chosen
Indicates the typical or mean temperature measured at the summit of a location over a defined period.
-
D.
hasSummitConditions
Indicates that specific environmental or situational conditions required for a summit (e.g., peak ascent or high-level meeting) are present or satisfied.
-
E.
hasSummitCoordinates
Indicates that an entity has specific geographic coordinates identifying the location of its summit.
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc94d048481908409d60129aef747 |
completed | March 7, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_69abc5a6cbd0819086c0716e266b7ebb |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 6, 2026, 9:41 p.m.