Triple
T13802651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hapag-Lloyd Flug |
E331678
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | HAPAG-LLOYD |
E331679
|
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: HAPAG-LLOYD | Statement: [Hapag-Lloyd Flug, callsign, HAPAG-LLOYD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HAPAG-LLOYD Context triple: [Hapag-Lloyd Flug, callsign, HAPAG-LLOYD]
-
A.
Mediterranean Shipping Company
Mediterranean Shipping Company is one of the world’s largest container shipping lines, operating a vast global fleet and network of maritime trade routes.
-
B.
K Line
K Line is a light rail route in the Los Angeles Metro Rail system serving neighborhoods in South Los Angeles and connecting to key transit hubs.
-
C.
Hapag-Lloyd Cruises
Hapag-Lloyd Cruises is a German luxury cruise line known for its high-end ocean and expedition voyages, particularly in the European and polar markets.
-
D.
Norddeutscher Lloyd
Norddeutscher Lloyd was a major German shipping company based in Bremen, renowned for its transatlantic passenger and cargo services from the mid-19th to the mid-20th century.
-
E.
Hapag-Lloyd Express
chosen
Hapag-Lloyd Express was a German low-cost airline that operated short-haul flights across Europe in the early 2000s before merging into TUIfly.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ded6c8190851c108ae559a355 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b08bd7c48190bcdf110ccd27c003 |
completed | May 3, 2026, 8:31 p.m. |
Created at: April 9, 2026, 10:12 p.m.