Triple
T21668000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Francisco Square in the Town of São Cristóvão |
E534770
|
entity |
| Predicate | civilFunction |
P3902
|
FINISHED |
| Object | administrative center of the town |
—
|
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: administrative center of the town | Statement: [São Francisco Square in the Town of São Cristóvão, civilFunction, administrative center of the town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: civilFunction Context triple: [São Francisco Square in the Town of São Cristóvão, civilFunction, administrative center of the town]
-
A.
civilVariant
Indicates a relationship where one item is a civil (non-military or civilian-use) version or counterpart of another.
-
B.
isCivil
Indicates that one party behaves in a polite, respectful, and non-hostile manner toward another.
-
C.
civilian
Indicates that an entity is a non-military person or object associated with civilian status or context.
-
D.
governmentalFunction
chosen
Indicates that an entity performs, embodies, or is responsible for an official role, duty, or activity of a government.
-
E.
constitutionalDomain
Indicates that something falls within the scope, authority, or subject matter defined or governed by a particular constitution.
- 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c0cf6208190a8bd9fa423c65a40 |
completed | April 27, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69e6968abfdc81909cf9e0bd72db9eca |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:37 p.m.