Triple
T16262818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svellnosbreen |
E394795
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Lom |
E433531
|
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: Lom | Statement: [Svellnosbreen, hasNearbySettlement, Lom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lom Context triple: [Svellnosbreen, hasNearbySettlement, Lom]
-
A.
Lom
chosen
Lom is a mountainous municipality in Innlandet county, Norway, known for its historic stave church and as a gateway to the Jotunheimen National Park.
-
B.
Lom
Lom is a port city on the Danube River in northwestern Bulgaria, known as an important regional transport and trade hub.
-
C.
lom
lom is the ISO 639-3 language code for the Loma language spoken primarily in Liberia and neighboring West African regions.
-
D.
Lomu
Lomu is a surname most famously associated with Jonah Lomu, the legendary New Zealand rugby union winger.
-
E.
Lombe
Lombe is a city located in the Indonesian province of Southeast Sulawesi.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c5583c8190901e892238cf8dbd |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017b5f3a8819083128cf2b90cfd84 |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:04 a.m.