Triple
T15882905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Tabo |
E385117
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Litoral Central |
E1069371
|
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: Litoral Central | Statement: [El Tabo, partOf, Litoral Central]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Litoral Central Context triple: [El Tabo, partOf, Litoral Central]
-
A.
Litoral Central
Litoral Central is a coastal region of Venezuela that includes key urban and port areas near Caracas and serves as an important transportation hub.
-
B.
Litoral Central
chosen
Litoral Central is a coastal region of central Chile known for its beaches, seaside towns, and tourism-oriented communities such as Puchuncaví.
-
C.
Litoral Sul
Litoral Sul is the southern coastal region of the Brazilian state of Espírito Santo, known for its beaches, tourism, and seaside communities.
-
D.
Litoral Norte
Litoral Norte is the northern coastal region of the Brazilian state of Espírito Santo, known for its beaches, fishing communities, and growing tourism.
-
E.
Litoral region
The Litoral region is a northeastern area of Argentina along major rivers that historically served as a key economic and strategic corridor, especially during 19th-century conflicts.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156173e248190901641d838ecb40f |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa95466e08190a967114821651e60 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.