Triple
T22697014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palana Airport |
E561207
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Palana |
—
|
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: Palana | Statement: [Palana Airport, serves, Palana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palana Context triple: [Palana Airport, serves, Palana]
-
A.
Palana
chosen
Palana is a remote settlement on Russia’s Kamchatka Peninsula, known for its small regional airport and role as an administrative center in the area.
-
B.
Palena
Palena is a small town and municipality in the Palena Province of Chile’s Los Lagos Region, known for its remote Andean landscapes and outdoor tourism.
-
C.
Palena
Palena is a small Italian town in the Abruzzo region, known for its mountainous landscape within the Majella National Park and its historic medieval center.
-
D.
Malalane
Malalane is a town in northeastern South Africa, known as a key gateway to Kruger National Park and a commercial hub in the Mpumalanga province.
-
E.
Pulamanthole
Pulamanthole is a town in the Malappuram district of Kerala, India, known for its local commerce and role as a regional hub for surrounding rural areas.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789f26848190bcc5a99e3ed909e7 |
completed | April 29, 2026, 3:18 a.m. |
Created at: April 17, 2026, 3:14 p.m.