Triple
T15282099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | flag of Valencia |
E365293
|
entity |
| Predicate | numberOfYellowStripes |
P117942
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [flag of Valencia, numberOfYellowStripes, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfYellowStripes Context triple: [flag of Valencia, numberOfYellowStripes, 5]
-
A.
numberOfGoldStripes
Indicates the specific count of gold-colored stripes associated with an entity.
-
B.
numberOfStripes
Indicates the count of distinct stripe markings associated with an entity.
-
C.
yellowStripeRepresents
Indicates that a yellow stripe symbolically stands for or denotes a particular meaning, status, or attribute in a given context.
-
D.
yellowStripeProportion
Indicates the proportion of an object’s surface or area that is covered by yellow stripes.
-
E.
greenStripeRepresents
Indicates that a green stripe symbolically stands for or denotes a particular meaning, status, or attribute in a given context.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e51f82081909f63d14b589d5587 |
completed | April 15, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69deca90739081909bd1b797cdb8af2b |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2e413481909d9180a8d78d2c17 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:15 a.m.