Triple
T304069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USL Second Division |
E6259
|
entity |
| Predicate | tierInPyramid |
P3194
|
FINISHED |
| Object | third tier |
—
|
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: third tier | Statement: [USL Second Division, tierInPyramid, third tier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tierInPyramid Context triple: [USL Second Division, tierInPyramid, third tier]
-
A.
levelOnPyramid
chosen
Indicates the relative vertical tier or layer that an entity occupies within a pyramid structure.
-
B.
teamLevel
Indicates the hierarchical rank or tier at which a team operates within an organization, competition, or structure.
-
C.
numberOfStairs
Indicates the quantity of stairs associated with or present in a given context or structure.
-
D.
towerType
Indicates the specific kind or classification of a tower that an entity is associated with or represents.
-
E.
trophicLevel
Indicates the position an organism occupies in a food chain, based on how it obtains energy and nutrients (e.g., producer, primary consumer, top predator).
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea1032e48190864338e030d9dc92 |
completed | Feb. 28, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69a2e93db11881909b07ba5e76d91feb |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.