Triple
T22557843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trans Europ Express |
E557733
|
entity |
| Predicate | notableTrain |
P1669
|
FINISHED |
| Object |
TEE Saphir
TEE Saphir was a prestigious first-class Trans Europ Express passenger train that operated between Germany and Belgium, known for its luxury service and international business travel clientele.
|
E1543413
|
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: TEE Saphir | Statement: [Trans Europ Express, notableTrain, TEE Saphir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TEE Saphir Context triple: [Trans Europ Express, notableTrain, TEE Saphir]
-
A.
Troinex
Troinex is a small municipality in the canton of Geneva in southwestern Switzerland, situated near the French border.
-
B.
Trucolor
Trucolor was a mid-20th-century color motion picture process developed by Republic Pictures, used primarily in their Westerns and adventure films.
-
C.
Teclo
Teclo is a song by PJ Harvey from her critically acclaimed 1995 album "To Bring You My Love."
-
D.
Phenom
Phenom is a short-lived 1990s American television sitcom centered on a teenage tennis prodigy and her eccentric family.
-
E.
Phenom
Phenom is a line of AMD desktop processors known for introducing the company’s first native multi-core CPUs aimed at mainstream and enthusiast markets.
- 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: TEE Saphir Triple: [Trans Europ Express, notableTrain, TEE Saphir]
Generated description
TEE Saphir was a prestigious first-class Trans Europ Express passenger train that operated between Germany and Belgium, known for its luxury service and international business travel clientele.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TEE Saphir Target entity description: TEE Saphir was a prestigious first-class Trans Europ Express passenger train that operated between Germany and Belgium, known for its luxury service and international business travel clientele.
-
A.
Troinex
Troinex is a small municipality in the canton of Geneva in southwestern Switzerland, situated near the French border.
-
B.
Trucolor
Trucolor was a mid-20th-century color motion picture process developed by Republic Pictures, used primarily in their Westerns and adventure films.
-
C.
Teclo
Teclo is a song by PJ Harvey from her critically acclaimed 1995 album "To Bring You My Love."
-
D.
Phenom
Phenom is a short-lived 1990s American television sitcom centered on a teenage tennis prodigy and her eccentric family.
-
E.
Phenom
Phenom is a line of AMD desktop processors known for introducing the company’s first native multi-core CPUs aimed at mainstream and enthusiast markets.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f7b06e08190b3ca82a783965942 |
completed | April 29, 2026, 1:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b2d6a72448190bddf2e280b6fca76 |
completed | May 18, 2026, 3:16 p.m. |
| NEDg | Description generation | batch_6a0b364718308190937c3b7ae90ea9df |
completed | May 18, 2026, 3:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b37a1ecc08190ac89e862582833a0 |
completed | May 18, 2026, 4 p.m. |
Created at: April 16, 2026, 8:52 p.m.