Triple
T30956714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio 2016 Olympic Torch Relay |
E788694
|
entity |
| Predicate | notableCityVisited |
P93961
|
FINISHED |
| Object | São Paulo |
E9033
|
NE 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: São Paulo | Statement: [Rio 2016 Olympic Torch Relay, notableCityVisited, São Paulo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCityVisited Context triple: [Rio 2016 Olympic Torch Relay, notableCityVisited, São Paulo]
-
A.
cityVisited
chosen
Indicates that an entity has traveled to and spent time in a particular city.
-
B.
notableCityIncluded
Indicates that a notable or significant city is contained within, or is part of, a larger geographic or administrative entity.
-
C.
hasLandmarkCity
Indicates that a particular landmark is located within or associated with a specific city.
-
D.
hasFamousCity
Indicates that an entity possesses or is associated with a city that is widely recognized or renowned.
-
E.
reputedToBeVisitedBy
Indicates that an entity is commonly believed or reported to be visited by another entity, without necessarily confirming that the visits actually occur.
- F. None of above.
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_69f224c28c1881908c33b45d689f1724 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a28fbaf59988190b4973c3ae7dd9b13 |
completed | June 10, 2026, 5:52 a.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:54 p.m.