Triple
T29254403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makalu massif |
E741656
|
entity |
| Predicate | hasProminentFace |
P53390
|
FINISHED |
| Object | west face of Makalu |
—
|
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: west face of Makalu | Statement: [Makalu massif, hasProminentFace, west face of Makalu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProminentFace Context triple: [Makalu massif, hasProminentFace, west face of Makalu]
-
A.
hasProminentAspect
Indicates that an entity possesses a particularly notable, dominant, or emphasized aspect or feature.
-
B.
hasFace
chosen
Indicates that one entity possesses, displays, or is characterized by a face.
-
C.
hasNotablePersonAsFace
Indicates that an entity is publicly represented or symbolized by a specific notable person, such as a spokesperson, ambassador, or brand face.
-
D.
hasFacialProfile
Indicates that an entity possesses a specific facial profile or configuration of facial features.
-
E.
hasFrontPerson
Indicates that an entity is represented, led, or fronted publicly by a specific person.
- 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_69f0911eba2c8190b07cd2fdf91422c9 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69ff5803c02c81908b63067119f5e684 |
completed | May 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69ff576d8b308190b49a1e072a0ae661 |
completed | May 9, 2026, 3:49 p.m. |
Created at: April 28, 2026, 12:36 p.m.