Triple
T10064428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RIOgaleão |
E213063
|
entity |
| Predicate | handlesActivity |
P19746
|
FINISHED |
| Object | airport operations |
—
|
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: airport operations | Statement: [RIOgaleão, handlesActivity, airport operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: handlesActivity Context triple: [RIOgaleão, handlesActivity, airport operations]
-
A.
hasActivityIn
chosen
Indicates that an entity engages in or performs a particular activity within a specified context, location, or domain.
-
B.
hasKeyActivity
Indicates that an entity is associated with or performs a primary or central activity.
-
C.
hasActivityType
Indicates the specific kind or category of activity associated with an entity or event.
-
D.
protectsActivity
Indicates that one entity safeguards, preserves, or defends the continuation or integrity of another entity’s activity.
-
E.
targetedActivity
Indicates that an activity is specifically directed or focused toward a particular entity, group, or objective.
- 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcfd653748190aeddf7a679028604 |
completed | April 2, 2026, 2:09 a.m. |
| PD | Predicate disambiguation | batch_69cd4b92573481909389bc6148ae7ea8 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 8:58 p.m.