Triple
T32506173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lapa, Rio de Janeiro |
E830801
|
entity |
| Predicate | formerFunctionOfMainLandmark |
P5925
|
FINISHED |
| Object | aqueduct |
—
|
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: aqueduct | Statement: [Lapa, Rio de Janeiro, formerFunctionOfMainLandmark, aqueduct]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerFunctionOfMainLandmark Context triple: [Lapa, Rio de Janeiro, formerFunctionOfMainLandmark, aqueduct]
-
A.
formerSiteOf
Indicates that a location previously hosted or contained something (such as a structure, organization, or event) that is no longer present there.
-
B.
hasMonumentFunction
Indicates that something serves the role or purpose of a monument, such as commemorating, honoring, or symbolizing a person, event, or idea.
-
C.
historicalLocationNowIn
Indicates that an entity’s historical location is now situated within the boundaries of another, current geographic or political entity.
-
D.
formerFunction
chosen
Indicates that an entity previously held a specific role, position, or function but no longer does so.
-
E.
hasFormerNearbyLandmark
Indicates that an entity previously had a nearby landmark that no longer exists or no longer holds the same status or relevance.
- 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_69f349219cb8819087e120f509629c1b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff7eb7189c81909a8f73fbc4c48e02 |
completed | May 9, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69ff7e54e11081908fb5ce10c5aa7b53 |
completed | May 9, 2026, 6:35 p.m. |
Created at: May 1, 2026, 1 a.m.