Triple
T11421207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lembata |
E270623
|
entity |
| Predicate | hasLargestTown |
P847
|
FINISHED |
| Object | Lewoleba |
E924502
|
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: Lewoleba | Statement: [Lembata, hasLargestTown, Lewoleba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lewoleba Context triple: [Lembata, hasLargestTown, Lewoleba]
-
A.
Lewoleba
chosen
Lewoleba is the main town and administrative center of Lembata Island in Indonesia’s East Nusa Tenggara province.
-
B.
Vilankulo
Vilankulo is a coastal town in southern Mozambique known as the main gateway to the nearby Bazaruto Archipelago and its popular beach and marine tourism.
-
C.
Atambua
Atambua is a town in East Nusa Tenggara, Indonesia, located near the border with Timor-Leste and serving as an important regional trade and transit center.
-
D.
Barawa
Barawa is a West Chadic language spoken in parts of Nigeria, belonging to the Afroasiatic language family.
-
E.
Kolaka
Kolaka is a coastal town and important regional center on the island of Sulawesi in Indonesia, known for its mining activities and role as a transport hub in Southeast Sulawesi.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d801b20ce08190befc98379b879985 |
completed | April 9, 2026, 7:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d36004cc81908222321af88d2903 |
completed | April 20, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:34 p.m.