Triple
T741855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | presidential standard of Mexico |
E15259
|
entity |
| Predicate | stripeOrder |
P18862
|
FINISHED |
| Object | green-white-red |
—
|
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: green-white-red | Statement: [presidential standard of Mexico, stripeOrder, green-white-red]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stripeOrder Context triple: [presidential standard of Mexico, stripeOrder, green-white-red]
-
A.
hasStripe
Indicates that one entity possesses or exhibits a stripe or stripes as a characteristic or feature.
-
B.
orderFounded
Indicates that an organization or group was established or created at a specific time or by a specific entity.
-
C.
order
Indicates that one entity requests, arranges, or directs that another entity provide a good, service, or action, typically in a specified sequence or priority.
-
D.
orderFoundedBy
Indicates that a particular order or organization was established or created by a specific person or entity.
-
E.
ordersBy
Indicates that one entity arranges, sorts, or sequences another entity according to a specified criterion or set of criteria.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a60e286c81908787a41cf9b9f150 |
completed | March 1, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fdaaf48190985f62acfc069508 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a5a35c68819082429755c046e9a7 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:37 p.m.