Triple
T6041983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian Pacific Air Lines |
E134567
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | CP |
E134564
|
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: CP | Statement: [Canadian Pacific Air Lines, IATAcode, CP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CP Context triple: [Canadian Pacific Air Lines, IATAcode, CP]
-
A.
CP
CP is the national railway operator of Portugal, providing passenger and freight train services across the country.
-
B.
CP
CP is the International Baccalaureate Career-related Programme, a two-year educational framework that combines academic study with career-focused learning for students aged 16–19.
-
C.
CP
chosen
CP was the IATA airline designator for Canadian Airlines, a former major Canadian carrier.
-
D.
P$C
P$C is a hip hop group closely linked to producer DJ Toomp and the Atlanta rap scene.
-
E.
CAP
CAP is a professional certification that validates an individual's expertise in applying analytics to solve real-world business problems.
- 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_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. |
Created at: March 22, 2026, 4:08 p.m.