Triple
T21318392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arauco Province |
E525539
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Lebu |
—
|
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: Lebu | Statement: [Arauco Province, hasSettlement, Lebu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lebu Context triple: [Arauco Province, hasSettlement, Lebu]
-
A.
Lebu
chosen
Lebu is a coastal Chilean city that serves as an administrative and fishing center in the Biobío Region.
-
B.
Bulebel
Bulebel is an industrial and residential area forming part of the town of Żejtun in Malta.
-
C.
Kwaluudhi
Kwaluudhi is a dialect of the Ovambo language spoken by a specific Ovambo subgroup in northern Namibia.
-
D.
Luchazi
Luchazi is a Bantu language spoken primarily by the Luchazi people in eastern Angola and neighboring regions.
-
E.
Dondo
Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
- 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e77ece1c348190aaa9c52474b57b2f |
completed | April 21, 2026, 1:42 p.m. |
Created at: April 16, 2026, 4:37 p.m.