Triple
T13007912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constitution Day of Mexico |
E322335
|
entity |
| Predicate | currentObservationRule |
P107797
|
FINISHED |
| Object | first Monday of February |
—
|
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: first Monday of February | Statement: [Constitution Day of Mexico, currentObservationRule, first Monday of February]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentObservationRule Context triple: [Constitution Day of Mexico, currentObservationRule, first Monday of February]
-
A.
currentRuler
Indicates that one entity is the present reigning ruler or head of state of another entity (such as a country, region, or polity).
-
B.
observationalStatus
Indicates the current state or condition of an observation, such as whether it has been made, recorded, verified, or remains pending.
-
C.
isObservedIn
Indicates that something (such as a phenomenon, property, or behavior) is detected, recorded, or found to occur within a particular context, setting, or environment.
-
D.
currentPolicy
Indicates that a given policy is the one presently in effect or actively governing the relevant context.
-
E.
observationType
Indicates the specific kind or category of observation being made or recorded 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9cf0108190b02f498c6ccc91f8 |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc153a081909d13a694993f074a |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97e74283c819082e69ac3554fa7d8 |
completed | April 10, 2026, 10:49 p.m. |
Created at: April 9, 2026, 8:48 p.m.