Triple
T2510682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transgender pride flag |
E52691
|
entity |
| Predicate | stripePattern |
P40677
|
FINISHED |
| Object | horizontal stripes |
—
|
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: horizontal stripes | Statement: [Transgender pride flag, stripePattern, horizontal stripes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stripePattern Context triple: [Transgender pride flag, stripePattern, horizontal stripes]
-
A.
cardType
Indicates the classification or category assigned to a card within a given system or context.
-
B.
issuerBrandName
Indicates the brand name associated with the entity that issues a product, document, or instrument.
-
C.
greenStripeRepresents
Indicates that a green stripe symbolically stands for or denotes a particular meaning, status, or attribute in a given context.
-
D.
creditCardPartner
Indicates a partnership or affiliation between entities related to credit card products or services.
-
E.
cardNetworkRank
Indicates the relative position or ranking of a payment card network compared to other card networks, typically based on metrics such as usage, market share, or performance.
- 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_69ab4958e76481908a235377dd921c9e |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd5a33234819082ad49fa6594b6be |
completed | March 7, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69abd0bf37c0819088d28b5081ba7556 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd5a1cd508190a660b9a3c6b7cbcb |
completed | March 7, 2026, 7:37 a.m. |
Created at: March 6, 2026, 9:46 p.m.