Triple
T924049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lidingö Municipality |
E19943
|
entity |
| Predicate | islandMunicipality |
P21594
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Lidingö Municipality, islandMunicipality, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: islandMunicipality Context triple: [Lidingö Municipality, islandMunicipality, true]
-
A.
islandCounty
Indicates that a county is located on, or primarily consists of, one or more islands.
-
B.
capitalOfIsland
Indicates that a location serves as the capital city or administrative center of a specified island.
-
C.
partOfIsland
Indicates that one entity is a portion or component of an island.
-
D.
islandType
Indicates the specific classification or category of an island based on its characteristics or formation.
-
E.
specialMunicipality
Indicates that an entity is designated as a special municipality, typically having a distinct administrative or legal status compared to regular municipalities.
- F. None of above. chosen
Provenance (4 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3296f50819087f809fbe90b139e |
completed | March 1, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69a4b295b02481908e5f53bfcb83cc94 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b30efd2c8190b780a6dee086d0aa |
completed | March 1, 2026, 9:43 p.m. |
Created at: March 1, 2026, 7:40 p.m.