Triple
T14845463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teaoraereke |
E349073
|
entity |
| Predicate | roadNetworkConnectedTo |
P3374
|
FINISHED |
| Object | Betio |
E64642
|
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: Betio | Statement: [Teaoraereke, roadNetworkConnectedTo, Betio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betio Context triple: [Teaoraereke, roadNetworkConnectedTo, Betio]
-
A.
Betio
chosen
Betio is a small, heavily fortified islet in the Tarawa atoll of Kiribati, best known as the site of one of the bloodiest Pacific amphibious assaults of World War II.
-
B.
Pa'a
Pa'a is a Chadic language spoken in northern Nigeria, closely related to and geographically near the Warji language.
-
C.
Batan
Batan is a coastal municipality in the province of Aklan in the Philippines, known for its agricultural economy and proximity to Capiz.
-
D.
Tayauh
Tayauh was a participant in the Tepanec War, a conflict among pre-Columbian Nahua city-states in central Mexico.
-
E.
Kofiau
Kofiau is a small, remote island in Indonesia’s Raja Ampat region, known for its rich marine biodiversity and endemic bird species.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded291103c8190a64cfe700bfee197 |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe65010190819083ec051eb5d82839 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:53 a.m.