Triple
T3275694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guna language |
E68751
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Wargandí |
E79201
|
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: Wargandí | Statement: [Guna language, region, Wargandí]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wargandí Context triple: [Guna language, region, Wargandí]
-
A.
Wargandí
chosen
Wargandí is an indigenous comarca (autonomous territory) in eastern Panama inhabited primarily by the Guna (Kuna) people.
-
B.
Andalgalá
Andalgalá is a town in northwestern Argentina known for its mining activities and scenic location in the foothills of the Andes within Catamarca Province.
-
C.
Comondú
Comondú is a municipality in the Mexican state of Baja California Sur, known for its agricultural valleys, coastal areas, and historic mission towns.
-
D.
Urunga
Urunga is a small coastal town in New South Wales, Australia, known for its scenic boardwalks, estuary views, and relaxed seaside atmosphere.
-
E.
Carabajal
Carabajal is a Spanish-origin surname, often considered a variant of Carvajal, borne by various families across Spain and Latin America.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0110f1c8190ae60708b686cbbf9 |
completed | March 8, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3c764548190ac3c90da3763ac62 |
completed | March 12, 2026, 5:11 p.m. |
Created at: March 8, 2026, 3:10 p.m.