Triple
T21935896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sicán culture |
E541686
|
entity |
| Predicate | mainSite |
P423
|
FINISHED |
| Object | Túcume |
—
|
NE NERFINISHED |
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: Túcume | Statement: [Sicán culture, mainSite, Túcume]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Túcume Context triple: [Sicán culture, mainSite, Túcume]
-
A.
Túcume
chosen
Túcume is a large pre-Columbian archaeological complex in northern Peru, renowned for its numerous adobe pyramids and its importance within the Lambayeque (Sicán) culture.
-
B.
Lambaré
Lambaré is a major suburban city in the metropolitan area of Asunción, Paraguay, known for its residential neighborhoods and commercial activity.
-
C.
Guará
Guará is an administrative region and residential suburb within Brazil’s Federal District, located near Brasília.
-
D.
Capiatá
Capiatá is a city in Paraguay known as part of the Greater Asunción metropolitan area and an important urban and commercial center in the Central Department.
-
E.
Naguanagua
Naguanagua is a suburban municipality and city in the state of Carabobo, Venezuela, known for its residential areas, commercial centers, and proximity to the regional capital Valencia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f124048fe48190987340d5a6945176 |
completed | April 28, 2026, 9:17 p.m. |
Created at: April 16, 2026, 7:53 p.m.