Triple
T5526420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European route E35 |
E144931
|
entity |
| Predicate | routeNumber |
P1864
|
FINISHED |
| Object |
E35
E35 is a major north–south European route running from Amsterdam in the Netherlands to Rome in Italy, passing through Germany and Switzerland.
|
E530159
|
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: E35 | Statement: [European route E35, routeNumber, E35]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E35 Context triple: [European route E35, routeNumber, E35]
-
A.
E5
E5 is the IATA airline designator assigned to Air Arabia Egypt, a low-cost carrier based in Egypt.
-
B.
E-3
E-3 is a U.S. Air Force airborne warning and control system (AWACS) aircraft based on the Boeing 707 airframe, used for long-range surveillance, command, and control.
-
C.
A35
A35 is a major French motorway in the Alsace region that runs north–south near the German border, connecting cities such as Strasbourg and Mulhouse.
-
D.
TX-35
TX-35 is the commonly used abbreviation for Texas's 35th congressional district, a U.S. House of Representatives district centered around parts of Austin and San Antonio.
-
E.
A359
A359 is the ICAO aircraft type designator for the Airbus A350-900, a long-range, wide-body twin-engine jet airliner used primarily for international passenger flights.
- 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: E35 Triple: [European route E35, routeNumber, E35]
Generated description
E35 is a major north–south European route running from Amsterdam in the Netherlands to Rome in Italy, passing through Germany and Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: E35 Target entity description: E35 is a major north–south European route running from Amsterdam in the Netherlands to Rome in Italy, passing through Germany and Switzerland.
-
A.
E5
E5 is the IATA airline designator assigned to Air Arabia Egypt, a low-cost carrier based in Egypt.
-
B.
E-3
E-3 is a U.S. Air Force airborne warning and control system (AWACS) aircraft based on the Boeing 707 airframe, used for long-range surveillance, command, and control.
-
C.
A35
A35 is a major French motorway in the Alsace region that runs north–south near the German border, connecting cities such as Strasbourg and Mulhouse.
-
D.
TX-35
TX-35 is the commonly used abbreviation for Texas's 35th congressional district, a U.S. House of Representatives district centered around parts of Austin and San Antonio.
-
E.
A359
A359 is the ICAO aircraft type designator for the Airbus A350-900, a long-range, wide-body twin-engine jet airliner used primarily for international passenger flights.
- 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f89112c8190b276317fcc2acce0 |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027fa22108190b55c07fe930ca4f1 |
completed | March 22, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c040a395488190bea2fd651c3aeef7 |
completed | March 22, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04141ea408190aba1463d56ad6b7d |
completed | March 22, 2026, 7:21 p.m. |
Created at: March 22, 2026, 3:34 p.m.