Triple
T20044775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerro Pedernal |
E497528
|
entity |
| Predicate | hasSpanishName |
P12773
|
FINISHED |
| Object | Cerro Pedernal |
—
|
NE NERFINISHED |
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: Cerro Pedernal | Statement: [Cerro Pedernal, hasSpanishName, Cerro Pedernal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cerro Pedernal Context triple: [Cerro Pedernal, hasSpanishName, Cerro Pedernal]
-
A.
Cerro Pedernal
chosen
Cerro Pedernal is a flat-topped mesa in northern New Mexico famously depicted in many of Georgia O’Keeffe’s landscape paintings.
-
B.
Cerro Picacho
Cerro Picacho is the highest peak of the Sierra de Guadalupe mountain range in Mexico.
-
C.
Picacho Peak
Picacho Peak is a distinctive, steep-sided mountain and state park landmark in southern Arizona known for its dramatic profile and desert hiking trails.
-
D.
San Luis Peak
San Luis Peak is a prominent fourteener in south-central Colorado, known for its relatively remote location and gentle, scenic hiking routes compared to many other high Rocky Mountain summits.
-
E.
Mogollon Baldy
Mogollon Baldy is a prominent high-elevation peak in southwestern New Mexico known for its forested slopes and remote wilderness setting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662eea09481908d1001165e9d719c |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:37 p.m.