Triple
T4074784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LATAM Perú |
E86736
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
LANPERU
LANPERU is the radio callsign used by LATAM Perú, a Peruvian subsidiary airline of the LATAM Airlines Group.
|
E411427
|
NE FINISHED |
How this triple was built (4 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: LANPERU | Statement: [LATAM Perú, callsign, LANPERU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LANPERU Context triple: [LATAM Perú, callsign, LANPERU]
-
A.
Perka
Perka is a small settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
-
B.
La Pera
La Pera is a small municipality in Catalonia, Spain, best known for housing the Castle of Púbol, once owned by surrealist artist Salvador Dalí and his wife Gala.
-
C.
Lunan
Lunan is a small coastal settlement in Angus, Scotland, known for its proximity to the scenic Lunan Bay beach.
-
D.
Loferl
Loferl are traditional Bavarian calf-warmers or split socks typically worn with Lederhosen as part of Alpine folk costume.
-
E.
Lipara
Lipara is one of the Hesperides, the nymphs of Greek mythology associated with the evening and the golden apples of the gods.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LANPERU Triple: [LATAM Perú, callsign, LANPERU]
Generated description
LANPERU is the radio callsign used by LATAM Perú, a Peruvian subsidiary airline of the LATAM Airlines Group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LANPERU Target entity description: LANPERU is the radio callsign used by LATAM Perú, a Peruvian subsidiary airline of the LATAM Airlines Group.
-
A.
Perka
Perka is a small settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
-
B.
La Pera
La Pera is a small municipality in Catalonia, Spain, best known for housing the Castle of Púbol, once owned by surrealist artist Salvador Dalí and his wife Gala.
-
C.
Lunan
Lunan is a small coastal settlement in Angus, Scotland, known for its proximity to the scenic Lunan Bay beach.
-
D.
Loferl
Loferl are traditional Bavarian calf-warmers or split socks typically worn with Lederhosen as part of Alpine folk costume.
-
E.
Lipara
Lipara is one of the Hesperides, the nymphs of Greek mythology associated with the evening and the golden apples of the gods.
- F. None of above. chosen
Provenance (5 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_69aefc25e2e08190b3c048e1b8f85bbf |
completed | March 9, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562bc05948190a9ad709768420588 |
completed | March 14, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_69b563b5cc108190bb9684abafa608af |
completed | March 14, 2026, 1:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5646606f08190930451ac372154cd |
completed | March 14, 2026, 1:36 p.m. |
Created at: March 9, 2026, 3:39 p.m.