Triple
T15021208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian State Railways |
E378087
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object |
Mantena
Mantena is a Norwegian company that specializes in the maintenance and servicing of railway rolling stock and related rail infrastructure.
|
E1134066
|
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: Mantena | Statement: [Norwegian State Railways, successor, Mantena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mantena Context triple: [Norwegian State Railways, successor, Mantena]
-
A.
Mant
Mant is a legislative assembly constituency in the Indian state of Uttar Pradesh, falling under the Mathura Lok Sabha parliamentary seat.
-
B.
Ga Mantse
The Ga Mantse is the traditional king and paramount chief of the Ga people of the Greater Accra Region in Ghana.
-
C.
Manche
Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
-
D.
Menostanes
Menostanes was an Achaemenid Persian nobleman known for his role in the violent dynastic struggles following the reign of Xerxes II.
-
E.
Manticao
Manticao is a coastal municipality in the province of Misamis Oriental on the island of Mindanao in the Philippines.
- 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: Mantena Triple: [Norwegian State Railways, successor, Mantena]
Generated description
Mantena is a Norwegian company that specializes in the maintenance and servicing of railway rolling stock and related rail infrastructure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mantena Target entity description: Mantena is a Norwegian company that specializes in the maintenance and servicing of railway rolling stock and related rail infrastructure.
-
A.
Mant
Mant is a legislative assembly constituency in the Indian state of Uttar Pradesh, falling under the Mathura Lok Sabha parliamentary seat.
-
B.
Ga Mantse
The Ga Mantse is the traditional king and paramount chief of the Ga people of the Greater Accra Region in Ghana.
-
C.
Manche
Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
-
D.
Menostanes
Menostanes was an Achaemenid Persian nobleman known for his role in the violent dynastic struggles following the reign of Xerxes II.
-
E.
Manticao
Manticao is a coastal municipality in the province of Misamis Oriental on the island of Mindanao in the Philippines.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded765462c819097f331c9b39c80e3 |
completed | April 15, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd2c96c8190a0368678584aaa16 |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fea0c35b088190abf578ed016753cd |
completed | May 9, 2026, 2:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea16b16b8819080b31203189f8cfe |
completed | May 9, 2026, 2:52 a.m. |
Created at: April 10, 2026, 2:56 a.m.