Triple
T27155021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samarobriva |
E682495
|
entity |
| Predicate | nearModernCityCenterOf |
P25976
|
FINISHED |
| Object | Amiens |
—
|
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: Amiens | Statement: [Samarobriva, nearModernCityCenterOf, Amiens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearModernCityCenterOf Context triple: [Samarobriva, nearModernCityCenterOf, Amiens]
-
A.
centerCityModernName
Indicates that the object is the current or modern name of the city that serves as the center or capital associated with the subject.
-
B.
modernCityIs
Indicates that something possesses the characteristics or status of being a modern city.
-
C.
notableCityCenter
Indicates that a location serves as a prominent or significant central area within a city.
-
D.
containsModernCity
Indicates that one geographic or administrative region includes within its boundaries a currently existing modern city.
-
E.
hasCityCentreLocation
chosen
Indicates that something is located in, or directly associated with, the central area of a city.
- 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_69eefaceb2a08190b9659b7f730629f5 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f625069a00819096cf4b71a69a3563 |
completed | May 2, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 9:16 a.m.