Triple
T5162407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Chechnya |
E116465
|
entity |
| Predicate | stripePosition |
P60141
|
FINISHED |
| Object | vertical stripe at hoist |
—
|
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: vertical stripe at hoist | Statement: [Flag of Chechnya, stripePosition, vertical stripe at hoist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stripePosition Context triple: [Flag of Chechnya, stripePosition, vertical stripe at hoist]
-
A.
stripePlacement
chosen
Indicates the relative position or arrangement of a stripe on or across an object or surface.
-
B.
chartPosition
Indicates the ranking or placement of an item within an ordered chart or list at a specific point in time.
-
C.
discPosition
Indicates the spatial or ordinal placement of a disc relative to a reference point or within a set or structure.
-
D.
chainPosition
Indicates the position or rank an entity occupies within an ordered chain or sequence relative to other entities.
-
E.
playingPosition
Indicates the specific role or position an individual occupies while participating in a game or sport.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79268ea48190a22d3350babc153c |
completed | March 20, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69bd77b36c008190b91011a9fa52b3d2 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:44 p.m.