Triple
T7163674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mellah Slimane Bridge |
E167010
|
entity |
| Predicate | isInCityNicknamed |
P75223
|
FINISHED |
| Object | City of Bridges |
—
|
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: City of Bridges | Statement: [Mellah Slimane Bridge, isInCityNicknamed, City of Bridges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInCityNicknamed Context triple: [Mellah Slimane Bridge, isInCityNicknamed, City of Bridges]
-
A.
cityNickNameForFanBase
Indicates that a particular nickname is used by fans to refer to a city or its fan base.
-
B.
metropolitanAreaNickname
Indicates that a metropolitan area is known by a particular informal or colloquial nickname.
-
C.
associatedWithCityNicknameType
Indicates a relationship where a city is linked to a specific type or category of nickname it is known by.
-
D.
isCityOf
Indicates that one entity is a city that belongs to, is located within, or is administratively part of another entity (such as a country, state, or region).
-
E.
regionalNickname
Indicates that one entity is an informal or colloquial name used for another entity within a specific geographic region.
- 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e82feee481908fa180ea8c9924fa |
completed | March 27, 2026, 8:27 p.m. |
| PD | Predicate disambiguation | batch_69c6e1cd5c948190a9113b23f7308c21 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a213508190a40aca39f9eee7d5 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:47 p.m.