Triple
T4537830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Davis |
E107449
|
entity |
| Predicate | hasPlanningEmphasis |
P32324
|
FINISHED |
| Object | bicycle infrastructure integration |
—
|
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: bicycle infrastructure integration | Statement: [Davis, hasPlanningEmphasis, bicycle infrastructure integration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlanningEmphasis Context triple: [Davis, hasPlanningEmphasis, bicycle infrastructure integration]
-
A.
hasPlanningStyle
Indicates that an entity is associated with or characterized by a particular style or approach to planning.
-
B.
hasPlanningConcept
Indicates that an entity is associated with, defined by, or governed by a particular planning-related concept or framework.
-
C.
hasPlanningCharacteristic
chosen
Indicates that an entity possesses a specific feature, quality, or attribute related to planning activities or processes.
-
D.
hasPlanningLevel
Indicates that an entity is associated with a specific stage, tier, or granularity within a planning or scheduling hierarchy.
-
E.
hasPlanningStatus
Indicates that an entity is associated with a particular stage, condition, or outcome in a planning or approval process.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57b8c4788190b35d110553013ff1 |
completed | March 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69bd521edd00819099dfccaa65dddd61 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:04 p.m.