Triple
T4736097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexico City (federal entity) |
E105129
|
entity |
| Predicate | hasOwnConstitutionSince |
P47483
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Mexico City (federal entity), hasOwnConstitutionSince, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOwnConstitutionSince Context triple: [Mexico City (federal entity), hasOwnConstitutionSince, 2017]
-
A.
lastConstitutionAdopted
Indicates that a particular constitution was the most recently adopted constitution of a given political entity or jurisdiction.
-
B.
servedAsConstitutionUntil
Indicates that one document functioned as the official constitution of an entity up to a specified point in time.
-
C.
hasConstitutionalStatus
Indicates that an entity possesses a particular status, role, or recognition as defined or protected by a constitution or constitutional framework.
-
D.
constitutionAdoptedIn
chosen
Indicates the event or relationship in which a constitution is formally adopted in a specific place or jurisdiction.
-
E.
numberOfConstitutionsPreviouslyInForce
Indicates the count of distinct constitutions that were officially in force before the current one.
- 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64831c58819098758ac1f7839b3a |
completed | March 20, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69bd6221c3b881908604f35f8de6f16b |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:19 p.m.