Triple
T27318543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nykøbing Mors |
E689417
|
entity |
| Predicate | coastalTownOn |
P157053
|
FINISHED |
| Object | Limfjord |
—
|
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: Limfjord | Statement: [Nykøbing Mors, coastalTownOn, Limfjord]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coastalTownOn Context triple: [Nykøbing Mors, coastalTownOn, Limfjord]
-
A.
coastalTownName
Indicates that the given name is the name of a town located on or very near a coast.
-
B.
coastalSettlementOf
chosen
Indicates a relationship where a settlement is located on or near the coast of a specified geographic area or body of water.
-
C.
includesCoastalTown
Indicates that a geographic area or region contains at least one town located on or directly adjacent to a coastline.
-
D.
isCoastalSettlementOf
Indicates that a settlement is located on or near the coast within the territory of a specified geographic or administrative area.
-
E.
locatedOnCoastAt
Indicates that one entity is situated on the coastline at the specific location represented by another entity.
- F. None of above.
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_69ef355c53a08190a8a92e355a7ce115 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f627e861e08190944ede3f79518a0d |
completed | May 2, 2026, 4:35 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 11:32 a.m.