Triple
T22105861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perito Moreno Glacier |
E546282
|
entity |
| Predicate | averageHeightOfIceFront |
P147001
|
FINISHED |
| Object | about 74 meters above water surface |
—
|
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: about 74 meters above water surface | Statement: [Perito Moreno Glacier, averageHeightOfIceFront, about 74 meters above water surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageHeightOfIceFront Context triple: [Perito Moreno Glacier, averageHeightOfIceFront, about 74 meters above water surface]
-
A.
hasIceFront
Indicates that an entity possesses or is characterized by an ice-covered front or leading edge.
-
B.
typicalIceThickness
Indicates the usual or characteristic thickness of ice under normal or representative conditions.
-
C.
glacierFlowRate
Indicates the rate at which a glacier moves or flows over a given distance in a specified time.
-
D.
summitIceCapThickness
Indicates the thickness of the ice cap measured at the summit of a geographic feature.
-
E.
notableGlacier
Indicates that the subject is a glacier recognized for its particular significance, prominence, or noteworthiness.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12918d7a4819080283c287a253c9f |
completed | April 28, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e7222d208c819098b12c13e31af629 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:30 p.m.