Triple
T6041985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian Pacific Air Lines |
E134567
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
Empress
Empress was the radio callsign used by Canadian Pacific Air Lines for its commercial flight operations.
|
E565171
|
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: Empress | Statement: [Canadian Pacific Air Lines, callsign, Empress]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Empress Context triple: [Canadian Pacific Air Lines, callsign, Empress]
-
A.
Empress
Empress is a studio album by Nigerian singer Yemi Alade that showcases her Afro-pop sound and themes of female empowerment.
-
B.
Empress Du
Empress Du was a Ming dynasty empress consort of the Jiajing Emperor, noted for her brief tenure and early death before fully consolidating her position at court.
-
C.
The Empress
The Empress is a historic luxury hotel in Victoria, British Columbia, renowned for its grand Edwardian architecture and traditional afternoon tea service.
-
D.
Her Imperial Majesty
Her Imperial Majesty is the formal honorific style traditionally used to address a reigning empress or female sovereign of an empire.
-
E.
Empress Fang
Empress Fang was a Ming dynasty empress consort known for her marriage to the Jiajing Emperor and her role in the imperial court during his reign.
- 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: Empress Triple: [Canadian Pacific Air Lines, callsign, Empress]
Generated description
Empress was the radio callsign used by Canadian Pacific Air Lines for its commercial flight operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Empress Target entity description: Empress was the radio callsign used by Canadian Pacific Air Lines for its commercial flight operations.
-
A.
Empress
Empress is a studio album by Nigerian singer Yemi Alade that showcases her Afro-pop sound and themes of female empowerment.
-
B.
Empress Du
Empress Du was a Ming dynasty empress consort of the Jiajing Emperor, noted for her brief tenure and early death before fully consolidating her position at court.
-
C.
The Empress
The Empress is a historic luxury hotel in Victoria, British Columbia, renowned for its grand Edwardian architecture and traditional afternoon tea service.
-
D.
Her Imperial Majesty
Her Imperial Majesty is the formal honorific style traditionally used to address a reigning empress or female sovereign of an empire.
-
E.
Empress Fang
Empress Fang was a Ming dynasty empress consort known for her marriage to the Jiajing Emperor and her role in the imperial court during his reign.
- 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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056d11370819096ac35349bd91f4e |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1139793708190b14c83d4197a33a0 |
completed | March 23, 2026, 10:19 a.m. |
| NEDg | Description generation | batch_69c116054e9881908de17b355558f149 |
completed | March 23, 2026, 10:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1167938008190bf43698bf4b69062 |
completed | March 23, 2026, 10:31 a.m. |
Created at: March 22, 2026, 4:08 p.m.