Triple
T34742952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iraqi Division Three |
E1001553
|
entity |
| Predicate | tierRelativeToTop |
P150329
|
FINISHED |
| Object | below top 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: below top tier | Statement: [Iraqi Division Three, tierRelativeToTop, below top tier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tierRelativeToTop Context triple: [Iraqi Division Three, tierRelativeToTop, below top tier]
-
A.
tierRelativeToTopDivision
chosen
Indicates the competitive level or rank of a division relative to the highest (top) division in a hierarchy.
-
B.
tierDeterminedBy
Indicates that the classification level or rank of one entity is decided or derived based on the properties, status, or outcome associated with another entity.
-
C.
fareLevelRelativeTo
Indicates how the cost or price of one fare compares to another fare in relative terms.
-
D.
positionRelativeToTopFlight
Indicates the relative vertical placement of something with respect to the topmost flight (e.g., of stairs or levels).
-
E.
heightRelation
Indicates a comparative relationship between entities based on their heights, such as one being taller, shorter, or the same height as another.
- 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_69f76db0367081909b57c50a7fb03025 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.