Triple
T31429558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marseille metropolitan area |
E801756
|
entity |
| Predicate | coastalUrbanArea |
P165595
|
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: [Marseille metropolitan area, coastalUrbanArea, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coastalUrbanArea Context triple: [Marseille metropolitan area, coastalUrbanArea, true]
-
A.
isCoastalAgglomeration
chosen
Indicates that an urban agglomeration is located on or directly adjacent to a sea or ocean coastline.
-
B.
isCoastalCitySuburb
Indicates that a suburb is located within or adjacent to a city that lies on a coastline, functioning as a suburban area of that coastal city.
-
C.
isCoastalCityNeighbourhood
Indicates that a neighborhood is located within a city that lies along a sea, ocean, or other significant coastal body of water.
-
D.
islandNationUrbanAreaOf
Indicates that an urban area is located within and associated with a specific island nation.
-
E.
isCoastalCityLocality
Indicates that a city or locality is situated on or very near a sea or ocean coastline.
- 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_69f348c475348190bf579ca858eec77c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6abaa1f648190b77073771df3bf3b |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 8:56 p.m.