Triple
T13802690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hapag-Lloyd Express |
E331679
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
YELLOW CAB
YELLOW CAB is the airline callsign used by the former German low-cost carrier Hapag-Lloyd Express.
|
E1062278
|
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: YELLOW CAB | Statement: [Hapag-Lloyd Express, callsign, YELLOW CAB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: YELLOW CAB Context triple: [Hapag-Lloyd Express, callsign, YELLOW CAB]
-
A.
Taksi
Taksi was a Jurchen chieftain of the late Ming period and the father of Nurhaci, whose lineage helped lay the foundations for the later Qing dynasty.
-
B.
Taksim
Taksim is a central district and major transportation and cultural hub on the European side of Istanbul, Turkey.
-
C.
Taxi
Taxi is a critically acclaimed American sitcom that aired from 1978 to 1983, following the lives of New York City cab drivers and their dispatcher, and is celebrated for its ensemble cast and blend of comedy and pathos.
-
D.
Taxi
Taxi is a 2015 Iranian docu-fiction film directed by Jafar Panahi, set almost entirely inside a Tehran taxi as it explores everyday life and social issues in contemporary Iran.
-
E.
GrabTaxi
GrabTaxi is a Southeast Asian ride-hailing and transportation platform that began as MyTeksi in Malaysia before expanding regionally under the Grab brand.
- 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: YELLOW CAB Triple: [Hapag-Lloyd Express, callsign, YELLOW CAB]
Generated description
YELLOW CAB is the airline callsign used by the former German low-cost carrier Hapag-Lloyd Express.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: YELLOW CAB Target entity description: YELLOW CAB is the airline callsign used by the former German low-cost carrier Hapag-Lloyd Express.
-
A.
Taksi
Taksi was a Jurchen chieftain of the late Ming period and the father of Nurhaci, whose lineage helped lay the foundations for the later Qing dynasty.
-
B.
Taksim
Taksim is a central district and major transportation and cultural hub on the European side of Istanbul, Turkey.
-
C.
Taxi
Taxi is a critically acclaimed American sitcom that aired from 1978 to 1983, following the lives of New York City cab drivers and their dispatcher, and is celebrated for its ensemble cast and blend of comedy and pathos.
-
D.
Taxi
Taxi is a 2015 Iranian docu-fiction film directed by Jafar Panahi, set almost entirely inside a Tehran taxi as it explores everyday life and social issues in contemporary Iran.
-
E.
GrabTaxi
GrabTaxi is a Southeast Asian ride-hailing and transportation platform that began as MyTeksi in Malaysia before expanding regionally under the Grab brand.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026c36108190a7436034a730a261 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b08bd7c48190bcdf110ccd27c003 |
completed | May 3, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69f7b25c9e5881909d526b38096d6446 |
completed | May 3, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b2f1b3848190bc30537d5092ee07 |
completed | May 3, 2026, 8:41 p.m. |
Created at: April 9, 2026, 10:12 p.m.