Triple
T22177500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakes Entrance |
E548085
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Metung |
E1523280
|
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: Metung | Statement: [Lakes Entrance, nearbyTown, Metung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metung Context triple: [Lakes Entrance, nearbyTown, Metung]
-
A.
Metung
chosen
Metung is a small coastal village in eastern Victoria, Australia, known for its scenic waterfront, boating, and tourism on the Gippsland Lakes.
-
B.
Mendut
Mendut is an ancient Buddhist temple near Borobudur in Central Java, Indonesia, renowned for its large seated Buddha statues and intricate stone carvings.
-
C.
Mengwi
Mengwi is a historic town in Bali, Indonesia, known for its royal heritage and the nearby Taman Ayun Temple.
-
D.
Tawangmangu
Tawangmangu is a popular highland resort area in Central Java, Indonesia, known for its cool climate, scenic mountain landscapes, and the Grojogan Sewu waterfall.
-
E.
Pakpak Pegagan
Pakpak Pegagan is a regional dialect of the Pakpak Dairi language spoken by the Pakpak community in parts of North Sumatra, Indonesia.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6d03488190b29872ff3f436237 |
completed | April 28, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0aa608399c8190ad0832d7374a358f |
completed | May 18, 2026, 5:39 a.m. |
Created at: April 16, 2026, 8:34 p.m.