Triple
T21205437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bohmte |
E522564
|
entity |
| Predicate | roadDesignApproach |
P143539
|
FINISHED |
| Object | removal of conventional traffic signals in town center |
—
|
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: removal of conventional traffic signals in town center | Statement: [Bohmte, roadDesignApproach, removal of conventional traffic signals in town center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadDesignApproach Context triple: [Bohmte, roadDesignApproach, removal of conventional traffic signals in town center]
-
A.
trackDesigner
Indicates that one entity is the designer or creator responsible for the layout or structure of a track associated with another entity.
-
B.
documentsDesignApproachOf
Indicates that one entity records or specifies the design approach used for another entity.
-
C.
trailDesignation
Indicates that a particular label, name, or classification has been assigned to a trail to identify its route, type, or official status.
-
D.
hasApproachRoad
Indicates that one entity is connected to or accessed by another entity via an approach road leading to it.
-
E.
urbanDesigner
Indicates a relationship where an entity practices or is responsible for planning and designing urban spaces, environments, or city layouts.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734342e9081909e241bed54dbc0b4 |
completed | April 21, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5fa92a2448190896c022dd27511ad |
completed | April 20, 2026, 10:06 a.m. |
Created at: April 16, 2026, 3:20 p.m.