Triple
T6123412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crato |
E136535
|
entity |
| Predicate | locatedInBasin |
P18951
|
FINISHED |
| Object | Araripe Basin |
E139642
|
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: Araripe Basin | Statement: [Crato, locatedInBasin, Araripe Basin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Araripe Basin Context triple: [Crato, locatedInBasin, Araripe Basin]
-
A.
Chapada do Araripe
chosen
Chapada do Araripe is a biodiverse plateau and conservation area in northeastern Brazil, renowned for its unique ecosystems, paleontological sites, and scenic landscapes.
-
B.
Itabaiana
Itabaiana is a prominent inland city in the Brazilian state of Sergipe, known for its vibrant commerce, agricultural production, and strategic location as a regional hub.
-
C.
Seridó Oriental
Seridó Oriental is a microregion in the state of Rio Grande do Norte, Brazil, known for its semi-arid landscape and cultural traditions linked to the Seridó hinterland.
-
D.
Banda Basin
The Banda Basin is a deep oceanic basin in eastern Indonesia, known for its complex tectonic setting and very deep waters within the Banda Sea region.
-
E.
Ciluba
Ciluba is a Bantu language spoken primarily in the Democratic Republic of the Congo, especially in the Kasai region.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05c25976081909e0a40e07dff0b8a |
completed | March 22, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16ebf33648190929d2e0b6b9faaec |
completed | March 23, 2026, 4:47 p.m. |
Created at: March 22, 2026, 4:14 p.m.