Triple
T22990530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serra de Baturité |
E572033
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Baturité Massif |
—
|
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: Baturité Massif | Statement: [Serra de Baturité, partOf, Baturité Massif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baturité Massif Context triple: [Serra de Baturité, partOf, Baturité Massif]
-
A.
Baturaden
Baturaden is a popular highland tourist area in Central Java, Indonesia, known for its cool climate, scenic mountain views, and hot springs on the slopes of Mount Slamet.
-
B.
Baturité
chosen
Baturité is a municipality in the state of Ceará in northeastern Brazil, known for its mountainous terrain and relatively mild climate.
-
C.
Batur Caldera
Batur Caldera is a large volcanic depression in Bali, Indonesia, known for containing Mount Batur and its scenic crater lake within an active volcanic landscape.
-
D.
Kopet Dagh
Kopet Dagh is a mountain range in Central Asia forming part of the natural border between Turkmenistan and Iran.
-
E.
Palandöken
Palandöken is a district and popular ski resort area in eastern Turkey, located near the city of Erzurum in Erzurum Province.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182ee3afc819099fbc6bef0b83bd5 |
completed | April 29, 2026, 4:02 a.m. |
Created at: April 17, 2026, 3:50 p.m.