Triple
T19986904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autoroute 25 |
E493955
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
A-25
A-25 is a major Quebec autoroute that runs through the Montreal region, connecting the island of Montreal to the Lanaudière area via the Louis-Hippolyte Lafontaine Bridge–Tunnel and the Olivier-Charbonneau Bridge.
|
E1406168
|
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: A-25 | Statement: [Autoroute 25, shortName, A-25]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A-25 Context triple: [Autoroute 25, shortName, A-25]
-
A.
A-2
The A-2 is a major Spanish motorway that connects Madrid with northeastern regions such as Zaragoza and Barcelona, forming part of the country’s primary eastward transport corridor.
-
B.
A-23
A-23 is the internal station code assigned to Warsaw's Młociny metro station on Line M1.
-
C.
A-22
The A-22 is a Spanish autovía (motorway) in northeastern Spain that connects the city of Huesca with Lleida, improving regional links including access to Monzón.
-
D.
A-21
A-21 is the station code assigned to Stare Bielany, a stop on the Warsaw Metro system.
-
E.
A-5
A-5 is a major Spanish motorway that connects Madrid with the western regions of the country toward Extremadura and the Portuguese border.
- 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: A-25 Triple: [Autoroute 25, shortName, A-25]
Generated description
A-25 is a major Quebec autoroute that runs through the Montreal region, connecting the island of Montreal to the Lanaudière area via the Louis-Hippolyte Lafontaine Bridge–Tunnel and the Olivier-Charbonneau Bridge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A-25 Target entity description: A-25 is a major Quebec autoroute that runs through the Montreal region, connecting the island of Montreal to the Lanaudière area via the Louis-Hippolyte Lafontaine Bridge–Tunnel and the Olivier-Charbonneau Bridge.
-
A.
A-2
The A-2 is a major Spanish motorway that connects Madrid with northeastern regions such as Zaragoza and Barcelona, forming part of the country’s primary eastward transport corridor.
-
B.
A-23
A-23 is the internal station code assigned to Warsaw's Młociny metro station on Line M1.
-
C.
A-22
The A-22 is a Spanish autovía (motorway) in northeastern Spain that connects the city of Huesca with Lleida, improving regional links including access to Monzón.
-
D.
A-21
A-21 is the station code assigned to Stare Bielany, a stop on the Warsaw Metro system.
-
E.
A-5
A-5 is a major Spanish motorway that connects Madrid with the western regions of the country toward Extremadura and the Portuguese border.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d16f60c81909ba02c0a3429ecae |
completed | April 20, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0804fe037081909b88552324ce5907 |
completed | May 16, 2026, 5:47 a.m. |
| NEDg | Description generation | batch_6a0807106b008190b979de6e0a6540a0 |
completed | May 16, 2026, 5:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0807a6c0e08190accf4a103f25ab54 |
completed | May 16, 2026, 5:59 a.m. |
Created at: April 11, 2026, 3:29 p.m.