Triple
T11315818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pico Sur |
E267961
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | es:Pico Sur |
E267961
|
NE 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: es:Pico Sur | Statement: [Pico Sur, hasNameInLanguage, es:Pico Sur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: es:Pico Sur Context triple: [Pico Sur, hasNameInLanguage, es:Pico Sur]
-
A.
Pico Sur
chosen
Pico Sur is one of the principal summits of Cerro de la Silla, a prominent mountain and natural landmark overlooking Monterrey, Mexico.
-
B.
Punta Sur
Punta Sur is a scenic coastal area on the southern tip of Isla Mujeres in Mexico, known for its dramatic cliffs, lighthouse, Mayan temple ruins, and sunrise views over the Caribbean Sea.
-
C.
Pico Norte
Pico Norte is the highest summit of Cerro de la Silla, a prominent mountain and natural landmark overlooking Monterrey, Mexico.
-
D.
Costa Chica
Costa Chica is a coastal region in southern Mexico known for its Afro-Mexican communities, rich cultural traditions, and Pacific shoreline spanning parts of Oaxaca and Guerrero.
-
E.
Papico
Papico is a popular Japanese squeezable ice cream treat known for its twin plastic tube packaging and creamy, milkshake-like texture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c2c7b081909af8acebc8aa93aa |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a9e66588190b71e0f60133a8995 |
completed | April 19, 2026, 5:02 p.m. |
Created at: April 8, 2026, 9:32 p.m.