Triple
T19201377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Tractor |
E470115
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Pylon |
—
|
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: Pylon | Statement: [Love Tractor, associatedWith, Pylon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pylon Context triple: [Love Tractor, associatedWith, Pylon]
-
A.
Pylon
chosen
Pylon was an influential American post-punk band from Athens, Georgia, known for its angular guitar sound and role in the early alternative rock scene.
-
B.
Pylons Project
Pylons Project is an open-source organization that develops and maintains Python web frameworks and related tools, including the Pyramid framework.
-
C.
Pteleon
Pteleon was a medieval coastal stronghold in Thessaly that formed part of the Catalan-ruled territories in Greece.
-
D.
Pillar
Pillar is a prominent mountain and popular hiking peak in England’s Lake District, known for its rugged crags and classic climbing routes.
-
E.
Pile
Pile is a surname of English origin borne by various individuals, including the character Ken Pile.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f9991ba48190ab92805daec3877b |
completed | April 20, 2026, 10:02 a.m. |
Created at: April 10, 2026, 12:07 p.m.