Triple
T10783289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Altar |
E254384
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | Guaranda |
E54570
|
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: Guaranda | Statement: [El Altar, nearCity, Guaranda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guaranda Context triple: [El Altar, nearCity, Guaranda]
-
A.
Guaranda
chosen
Guaranda is a small Andean city in central Ecuador known for its traditional architecture, indigenous culture, and vibrant Carnival celebrations.
-
B.
Potos
Potos is a genus of arboreal mammals best known for the kinkajou, a nocturnal, fruit-eating rainforest species with a prehensile tail.
-
C.
Potos
Potos is a coastal village and popular tourist resort on the Greek island of Thasos in the northern Aegean Sea.
-
D.
Paraguayan peso
The Paraguayan peso was the former official currency of Paraguay before it was succeeded by the Paraguayan guaraní.
-
E.
Peruvian sol
The Peruvian sol is the official monetary unit of Peru, used for everyday transactions and economic activities throughout the country.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732d1b4bc8190871dd21265065705 |
completed | April 9, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de5609bf9c81908f47591f74c04701 |
completed | April 14, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:17 p.m.