Triple
T13798397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamar Station |
E331574
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Hamar town centre |
E68670
|
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: Hamar town centre | Statement: [Hamar Station, locatedNear, Hamar town centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamar town centre Context triple: [Hamar Station, locatedNear, Hamar town centre]
-
A.
Hamar municipality
Hamar municipality is a local government area in Innlandet county, Norway, centered on the town of Hamar by Lake Mjøsa and known for its cultural, administrative, and sporting facilities.
-
B.
Hamar
chosen
Hamar is a town and municipality in Innlandet county, Norway, known for its rich Viking history and as a regional cultural and administrative center.
-
C.
Hamar parish
Hamar parish is a Church of Norway parish serving the town and surrounding area of Hamar in Innlandet county.
-
D.
Hamar Cathedral
Hamar Cathedral is a historic medieval church ruin and former cathedral located in the town of Hamar in Innlandet county, Norway.
-
E.
City of Hamm
The City of Hamm is a mid-sized industrial and service-oriented city in North Rhine-Westphalia, Germany, located in the eastern Ruhr area.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ce9148190b23370f6a522ff7a |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8da594c81908cb878a8cc1b3a72 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:11 p.m.