Triple
T583487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont Blanc Tunnel |
E15106
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object |
ATMB
ATMB is a French company responsible for managing and operating major alpine transport infrastructure, including the Mont Blanc Tunnel.
|
E72897
|
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: ATMB | Statement: [Mont Blanc Tunnel, operator, ATMB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ATMB Context triple: [Mont Blanc Tunnel, operator, ATMB]
-
A.
AMTK
AMTK is the reporting mark used by Amtrak, the United States’ national passenger railroad service, to identify its locomotives and rolling stock.
-
B.
AMA
AMA is the leading professional association and lobbying group representing physicians and medical students in the United States.
-
C.
AMM
AMM is the commonly used abbreviation for the APEC Ministerial Meeting, the annual gathering of Asia-Pacific Economic Cooperation foreign and trade ministers.
-
D.
AMRO
AMRO is the World Health Organization’s Regional Office responsible for public health leadership and coordination across the Americas.
-
E.
ABJ
ABJ is the vehicle registration code used for motor vehicles registered in Abuja, the capital city of Nigeria.
- 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: ATMB Triple: [Mont Blanc Tunnel, operator, ATMB]
Generated description
ATMB is a French company responsible for managing and operating major alpine transport infrastructure, including the Mont Blanc Tunnel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ATMB Target entity description: ATMB is a French company responsible for managing and operating major alpine transport infrastructure, including the Mont Blanc Tunnel.
-
A.
AMTK
AMTK is the reporting mark used by Amtrak, the United States’ national passenger railroad service, to identify its locomotives and rolling stock.
-
B.
AMA
AMA is the leading professional association and lobbying group representing physicians and medical students in the United States.
-
C.
AMM
AMM is the commonly used abbreviation for the APEC Ministerial Meeting, the annual gathering of Asia-Pacific Economic Cooperation foreign and trade ministers.
-
D.
AMRO
AMRO is the World Health Organization’s Regional Office responsible for public health leadership and coordination across the Americas.
-
E.
ABJ
ABJ is the vehicle registration code used for motor vehicles registered in Abuja, the capital city of Nigeria.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b8745c88190af9672e5fe8396c3 |
completed | March 1, 2026, 8:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a508a1cc788190a0906bfd876e510e |
completed | March 2, 2026, 3:48 a.m. |
| NEDg | Description generation | batch_69a50acbc7948190839d73bf48af0a67 |
completed | March 2, 2026, 3:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a50b5abad08190b5abab497c61952b |
completed | March 2, 2026, 4 a.m. |
Created at: March 1, 2026, 7:33 p.m.