Triple
T6547376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L1O |
E151043
|
entity |
| Predicate | tierInCanadianPyramid |
P72310
|
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: [L1O, tierInCanadianPyramid, third tier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tierInCanadianPyramid Context triple: [L1O, tierInCanadianPyramid, third tier]
-
A.
levelOnPyramid
Indicates the relative vertical tier or layer that an entity occupies within a pyramid structure.
-
B.
rankBySurfaceAreaInCanada
Indicates the relative ordering of entities based on the size of their surface area within the geographic boundaries of Canada.
-
C.
tierCount
Indicates the number of distinct levels, ranks, or layers associated with an entity in a hierarchical or tiered structure.
-
D.
tierInLeagueSystem
Indicates the specific hierarchical level or division an entity occupies within an organized league system.
-
E.
rankTier
Indicates the classification level or tier assigned to an entity within a ranking or hierarchical system.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ce07332481909a5a7964282eb776 |
completed | March 27, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69c6acf3e3708190b052ec774e607cb7 |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6ce0538f48190abf3160681901c17 |
completed | March 27, 2026, 6:35 p.m. |
Created at: March 27, 2026, 1:50 p.m.