Triple
T10476979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Pangui Canton |
E247069
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | El Pangui |
E865767
|
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: El Pangui | Statement: [El Pangui Canton, administrativeCenter, El Pangui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Pangui Context triple: [El Pangui Canton, administrativeCenter, El Pangui]
-
A.
El Pangui
chosen
El Pangui is a town in southeastern Ecuador that serves as an administrative and commercial center in the Amazonian province of Zamora-Chinchipe.
-
B.
Pugo
Pugo is a Latvian surname most notably borne by Boris Pugo, a Soviet politician and security official involved in the 1991 August Coup.
-
C.
Mungguy
Mungguy are the Aboriginal traditional owners and custodians of the land that includes Kakadu National Park in Australia’s Northern Territory.
-
D.
Panda Po
"Panda Po" is a musical track from the score of the animated film "Kung Fu Panda" (2008), composed to reflect the character Po's personality and journey.
-
E.
Pengo
Pengo is a Dravidian language spoken primarily by the Pengo people in parts of central India, especially in Odisha and neighboring regions.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5095021e081908dfaa467938c13fd |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc73991881909aa538fce1e05a7c |
completed | April 10, 2026, 11:18 a.m. |
Created at: April 6, 2026, 12:21 p.m.