Triple
T4074651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LIM |
E86732
|
entity |
| Predicate | isHubFor |
P423
|
FINISHED |
| Object | LATAM Perú |
E86736
|
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: LATAM Perú | Statement: [LIM, isHubFor, LATAM Perú]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LATAM Perú Context triple: [LIM, isHubFor, LATAM Perú]
-
A.
LATAM Perú
chosen
LATAM Perú is a major Peruvian airline and subsidiary of LATAM Airlines Group, operating domestic and international flights primarily from Lima.
-
B.
LATAM Ecuador
LATAM Ecuador is an Ecuadorian airline and regional subsidiary of LATAM Airlines Group, operating domestic and international flights primarily from its base in Guayaquil.
-
C.
LATAM Colombia
LATAM Colombia is a Colombian airline that operates domestic and international flights as part of the LATAM Airlines Group.
-
D.
LATAM Brasil
LATAM Brasil is a major Brazilian airline and subsidiary of LATAM Airlines Group, operating extensive domestic and international routes across South America and beyond.
-
E.
Peru
Peru is a South American country known for its rich Inca heritage, diverse landscapes from Andes mountains to Amazon rainforest, and the iconic archaeological site of Machu Picchu.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc245d888190ae773f9c3077953b |
completed | March 9, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562bc05948190a9ad709768420588 |
completed | March 14, 2026, 1:29 p.m. |
Created at: March 9, 2026, 3:39 p.m.