Triple
T331011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuauhtémoc |
E6624
|
entity |
| Predicate | governmentSeat |
P761
|
FINISHED |
| Object | Delegación Cuauhtémoc government building |
—
|
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: Delegación Cuauhtémoc government building | Statement: [Cuauhtémoc, governmentSeat, Delegación Cuauhtémoc government building]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentSeat Context triple: [Cuauhtémoc, governmentSeat, Delegación Cuauhtémoc government building]
-
A.
seatOfGovernment
chosen
Indicates that a location serves as the administrative center where a government exercises its official authority and conducts its primary governing functions.
-
B.
residenceOfHeadOfGovernment
Indicates the place where the head of government officially resides.
-
C.
countySeat
Indicates that one place serves as the administrative center or capital of a county.
-
D.
capitalRegionOf
Indicates that one region serves as the capital or primary administrative center of another region.
-
E.
headquartersLocation
Indicates the place where an organization’s main administrative center or principal office is located.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eaafd1a48190a6d001af3c2a5318 |
completed | Feb. 28, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69a2e94c6d8881908239d3788c018adf |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.