Triple
T18408090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waglisla |
E441678
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Lama Passage |
—
|
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: Lama Passage | Statement: [Waglisla, locatedNear, Lama Passage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lama Passage Context triple: [Waglisla, locatedNear, Lama Passage]
-
A.
Lama Passage
chosen
Lama Passage is a coastal waterway in British Columbia, Canada, forming part of the Inside Passage route near the community of Bella Bella.
-
B.
Hanpo Pass
Hanpo Pass is a scenic mountain pass on Lushan Mountain in China, known for its dramatic cliffs, cloud seas, and panoramic views over the surrounding landscape.
-
C.
Arhanga Pass
Arhanga Pass is a mountain pass in the Tirah region of the Khyber District in northwestern Pakistan, historically used as a local route through the rugged tribal highlands.
-
D.
Katara Pass
Katara Pass is a high mountain pass in the Pindus range of northwestern Greece, known for its challenging weather conditions and role as a key route connecting Epirus with Thessaly.
-
E.
Mayudia Pass
Mayudia Pass is a high-altitude mountain pass in Arunachal Pradesh, India, known for its scenic views, dense forests, and frequent winter snowfall.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5195a49e08190b31f1767239bbe28 |
completed | April 19, 2026, 6:05 p.m. |
Created at: April 10, 2026, 10:46 a.m.