Triple
T8262493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sun d'Or International Airlines |
E193226
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
ECHO ROMEO
ECHO ROMEO is the radio callsign used by Sun d'Or International Airlines for air traffic communication and identification.
|
E722214
|
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: ECHO ROMEO | Statement: [Sun d'Or International Airlines, callsign, ECHO ROMEO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ECHO ROMEO Context triple: [Sun d'Or International Airlines, callsign, ECHO ROMEO]
-
A.
Romeo Is Bleeding
Romeo Is Bleeding is a 1993 neo-noir crime thriller film known for its dark, violent tone and morally corrupt characters, starring Gary Oldman and Lena Olin.
-
B.
Lovers
Lovers is a Spanish film featuring actress Maribel Verdú in one of her notable roles.
-
C.
The Last Kiss of Romeo and Juliet
The Last Kiss of Romeo and Juliet is a Romantic-era artwork depicting the tragic lovers’ final embrace, housed in the historic Villa Carlotta on Lake Como.
-
D.
Romeo
Romeo is a small statutory town located in Conejos County in southern Colorado, United States.
-
E.
Valentine
Valentine is a masculine given name of Latin origin commonly associated with the meaning "strong" or "healthy" and historically linked to Saint Valentine.
- 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: ECHO ROMEO Triple: [Sun d'Or International Airlines, callsign, ECHO ROMEO]
Generated description
ECHO ROMEO is the radio callsign used by Sun d'Or International Airlines for air traffic communication and identification.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ECHO ROMEO Target entity description: ECHO ROMEO is the radio callsign used by Sun d'Or International Airlines for air traffic communication and identification.
-
A.
Romeo Is Bleeding
Romeo Is Bleeding is a 1993 neo-noir crime thriller film known for its dark, violent tone and morally corrupt characters, starring Gary Oldman and Lena Olin.
-
B.
Lovers
Lovers is a Spanish film featuring actress Maribel Verdú in one of her notable roles.
-
C.
The Last Kiss of Romeo and Juliet
The Last Kiss of Romeo and Juliet is a Romantic-era artwork depicting the tragic lovers’ final embrace, housed in the historic Villa Carlotta on Lake Como.
-
D.
Romeo
Romeo is a small statutory town located in Conejos County in southern Colorado, United States.
-
E.
Valentine
Valentine is a masculine given name of Latin origin commonly associated with the meaning "strong" or "healthy" and historically linked to Saint Valentine.
- 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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7938723081909379cf78a4449b80 |
completed | March 31, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd3573cee48190b72bdcdc433db93e |
completed | April 1, 2026, 3:10 p.m. |
| NEDg | Description generation | batch_69cd37a7ea30819094b1c140868fab5f |
completed | April 1, 2026, 3:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd4f09a7a8819096ae509767ca61ee |
completed | April 1, 2026, 4:59 p.m. |
Created at: March 30, 2026, 5:49 p.m.