Triple
T23230936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luster |
E581151
|
entity |
| Predicate | administrativeCentre |
P1474
|
FINISHED |
| Object | Gaupne |
E1156911
|
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: Gaupne | Statement: [Luster, administrativeCentre, Gaupne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaupne Context triple: [Luster, administrativeCentre, Gaupne]
-
A.
Gaupne
chosen
Gaupne is a village in western Norway that serves as an administrative and service center for the surrounding Lustrafjord area and nearby attractions like Jostedalsbreen National Park.
-
B.
Phakding
Phakding is a small village in Nepal’s Khumbu region that serves as an early overnight stop for trekkers heading toward Everest Base Camp.
-
C.
Ghandruk
Ghandruk is a picturesque Gurung village in Nepal’s Annapurna region, known for its traditional culture, mountain views, and popularity as a trekking destination.
-
D.
Marpha
Marpha is a picturesque Thakali village in Nepal’s Mustang region, known for its traditional stone houses, apple orchards, and role as a popular stop on the Annapurna Circuit trekking route.
-
E.
Parbatipur
Parbatipur is a key railway junction town in northern Bangladesh that serves as an important transportation and commercial hub for the surrounding region.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f19231ef908190a791b4967916a66f |
completed | April 29, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f577f5c8190a8c8bdf9bd5305f5 |
completed | May 19, 2026, 10:45 a.m. |
Created at: April 17, 2026, 4:09 p.m.