Triple
T9959104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turquino National Park |
E195520
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Pico Turquino |
E192300
|
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: Pico Turquino | Statement: [Turquino National Park, contains, Pico Turquino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pico Turquino Context triple: [Turquino National Park, contains, Pico Turquino]
-
A.
Pico Turquino
chosen
Pico Turquino is the tallest mountain in Cuba, located in the Sierra Maestra range in the southeastern part of the island.
-
B.
Pico Almanzor
Pico Almanzor is the highest and most prominent peak in Spain’s Sierra de Gredos range, renowned for its rugged granite slopes and alpine climbing routes.
-
C.
Pico Truncado
Pico Truncado is a small city in southern Argentina known for its role in the oil and gas industry within Santa Cruz Province.
-
D.
Pico del Águila
Pico del Águila is a prominent mountain peak and popular hiking destination located within the borough of Tlalpan in southern Mexico City.
-
E.
Pico de la Mira
Pico de la Mira is a notable mountain peak in Spain’s Sistema Central range, known for its panoramic views and popular hiking routes.
- 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_69ca82eaaa008190a54fa1a9f954b9ad |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb6cec7dc8190bb7e43c82a317707 |
completed | April 2, 2026, 12:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d867b408190ab630ae4af0fb827 |
completed | April 5, 2026, 10:46 a.m. |
Created at: March 30, 2026, 8:46 p.m.