Triple
T132964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States flag |
E2690
|
entity |
| Predicate | stripeArrangement |
P2362
|
FINISHED |
| Object | alternating red and white |
—
|
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: alternating red and white | Statement: [United States flag, stripeArrangement, alternating red and white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stripeArrangement Context triple: [United States flag, stripeArrangement, alternating red and white]
-
A.
arrangement
chosen
Indicates a relationship where entities are organized, ordered, or positioned in a particular configuration or sequence relative to one another.
-
B.
settlementType
Indicates the specific kind or category of human settlement an entity represents, such as a city, village, town, or hamlet.
-
C.
settlementPattern
Indicates how human dwellings or communities are spatially arranged and distributed across a geographic area.
-
D.
spreadBy
Indicates that something is transmitted, dispersed, or propagated through the agency or action of a specified entity or medium.
-
E.
servesSettlement
Indicates that one entity provides services or support to a particular settlement or community.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a25855baf48190a1b63f2e5865d957 |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a2564edb488190974dc00eb9ac37d9 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.