Triple
T7904097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Tamaulipas |
E183527
|
entity |
| Predicate | emblemField |
P79688
|
FINISHED |
| Object | white stripe |
—
|
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: white stripe | Statement: [Flag of Tamaulipas, emblemField, white stripe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emblemField Context triple: [Flag of Tamaulipas, emblemField, white stripe]
-
A.
emblematicField
Indicates that a particular field or attribute serves as a symbolic or representative marker for an entity or concept.
-
B.
emblemName
Indicates that a specified name is the official or recognized title of an emblem.
-
C.
emblemText
Indicates that a piece of text serves as the inscription or wording displayed on an emblem.
-
D.
emblematicFor
Indicates that something serves as a representative symbol or characteristic example of something else.
-
E.
emblemFeatures
Indicates that an emblem includes or displays specific visual elements or characteristics.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a4331cc8190b50301c78767a850 |
completed | March 31, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69cae92f9498819085277879e59aa072 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7882b048190baa333af9f698590 |
completed | March 30, 2026, 10:22 p.m. |
Created at: March 30, 2026, 5:02 p.m.