Triple
T6546460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerro Torre |
E151020
|
entity |
| Predicate | firstAscentClaim |
P69976
|
FINISHED |
| Object | claimed by Cesare Maestri in 1959 |
—
|
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: claimed by Cesare Maestri in 1959 | Statement: [Cerro Torre, firstAscentClaim, claimed by Cesare Maestri in 1959]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAscentClaim Context triple: [Cerro Torre, firstAscentClaim, claimed by Cesare Maestri in 1959]
-
A.
firstAscent
Indicates that an entity represents the earliest known successful ascent or climb of a particular route, peak, or feature.
-
B.
firstAscentStatus
chosen
Indicates whether and how a first ascent of something (such as a route, peak, or feature) has been achieved or recorded.
-
C.
usualFirstAscentBy
Indicates that the referenced entity is the person or party who is typically credited with making the first ascent of a particular route, peak, or climbing objective.
-
D.
firstAscentStyle
Indicates the style or manner in which the first successful ascent of a route or peak was carried out.
-
E.
firstAscentBy
Indicates the person or party that first successfully ascended or climbed a particular route, peak, or feature.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ce07332481909a5a7964282eb776 |
completed | March 27, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69c6acf3e3708190b052ec774e607cb7 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:50 p.m.