Triple
T6863509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City Loop |
E158338
|
entity |
| Predicate | hasDirectionPatterns |
P74179
|
FINISHED |
| Object | clockwise operation |
—
|
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: clockwise operation | Statement: [City Loop, hasDirectionPatterns, clockwise operation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDirectionPatterns Context triple: [City Loop, hasDirectionPatterns, clockwise operation]
-
A.
hasDirectionType
Indicates that something possesses or is associated with a specific type or category of direction.
-
B.
hasDirectionVariant
Indicates that one entity is a directional variant or orientation-specific form of another entity.
-
C.
hasDirectionScheme
Indicates that an entity is associated with or governed by a particular scheme or system for defining directions.
-
D.
containsDirectionOf
Indicates that one entity includes or encompasses the directional orientation or path associated with another entity.
-
E.
hasDirectionReference
Indicates that one entity specifies or points to a directional orientation or reference frame for another entity.
- 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6da3ce95081909a424ac04bc7fa07 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b168908190b2f7c724b1bc7fc9 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6da3b5510819093c5893ea92ac025 |
completed | March 27, 2026, 7:27 p.m. |
Created at: March 27, 2026, 2:21 p.m.