Triple
T9915730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of the State of Mexico |
E185862
|
entity |
| Predicate | emblemCentralElement |
P8639
|
FINISHED |
| Object | coat of arms of the State of Mexico |
—
|
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: coat of arms of the State of Mexico | Statement: [Flag of the State of Mexico, emblemCentralElement, coat of arms of the State of Mexico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emblemCentralElement Context triple: [Flag of the State of Mexico, emblemCentralElement, coat of arms of the State of Mexico]
-
A.
emblemName
Indicates that a specified name is the official or recognized title of an emblem.
-
B.
emblemFeatures
chosen
Indicates that an emblem includes or displays specific visual elements or characteristics.
-
C.
emblematicFor
Indicates that something serves as a representative symbol or characteristic example of something else.
-
D.
emblemField
Indicates the background area or surface on which an emblem, symbol, or coat of arms is displayed.
-
E.
emblemText
Indicates that a piece of text serves as the inscription or wording displayed on an emblem.
- 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb53d5be48190ab47e152760d5e2c |
completed | April 2, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69cd1d90b8a8819081748f129c0c6ab6 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:42 p.m.