Triple
T11188211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Pakistan |
E264726
|
entity |
| Predicate | sideRatioHeight |
P1991
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Flag of Pakistan, sideRatioHeight, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sideRatioHeight Context triple: [Flag of Pakistan, sideRatioHeight, 2]
-
A.
aspectRatio
chosen
Indicates the proportional relationship between an entity’s width and its height.
-
B.
proportionHeight
Indicates that one entity’s height stands in a specified proportional relationship to another entity’s height.
-
C.
hasHeight
Indicates that one entity possesses a specific vertical measurement or stature.
-
D.
hasScaleHeight
Indicates the characteristic vertical distance over which a quantity (such as pressure, density, or concentration) decreases by a fixed factor in a stratified medium.
-
E.
hasTypicalColumnHeightToDiameterRatio
Indicates that there is a characteristic or commonly observed proportional relationship between a column’s height and its diameter.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ad143481908d5dacc95837ecfd |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf4461c8190af84060f7db83211 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:29 p.m.