Triple
T34155507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elswick, United Kingdom |
E876124
|
entity |
| Predicate | currentlyCharacterizedAs |
P662
|
FINISHED |
| Object | inner-city residential district |
—
|
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: inner-city residential district | Statement: [Elswick, United Kingdom, currentlyCharacterizedAs, inner-city residential district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentlyCharacterizedAs Context triple: [Elswick, United Kingdom, currentlyCharacterizedAs, inner-city residential district]
-
A.
characterizedBy
chosen
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
-
B.
approachCharacterizedBy
Indicates that one entity’s method, strategy, or way of doing something is defined or distinguished by a particular characteristic, feature, or quality.
-
C.
standardCharacterization
Indicates that something is described, defined, or represented according to an accepted or commonly used standard.
-
D.
usedForCharacterizationOf
Indicates that something is employed to describe, distinguish, or determine the characteristics or identity of another entity.
-
E.
initialCharacterization
Indicates the first or earliest formal description, assessment, or classification made about an entity or situation.
- 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_69f349ac987481908a8e6053f665bc8b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff289541e0819096eeceb8e6332650 |
completed | May 9, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69ff281ab1988190920f0443be9f10cc |
completed | May 9, 2026, 12:27 p.m. |
Created at: May 1, 2026, 1:54 a.m.