Triple
T13000782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saab 18 |
E322162
|
entity |
| Predicate | airForceDesignation |
P7137
|
FINISHED |
| Object |
T 18
T 18 is the Swedish Air Force designation for a bomber and attack variant of the Saab 18 aircraft used during and after World War II.
|
E1015388
|
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: T 18 | Statement: [Saab 18, airForceDesignation, T 18]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T 18 Context triple: [Saab 18, airForceDesignation, T 18]
-
A.
T1 International
T1 International is the international passenger terminal at an airport commonly referred to as Terminal 1.
-
B.
T1
T1 is a tram line serving the Lyon metropolitan area in France, connecting key districts including Villeurbanne.
-
C.
T1
T1 is one of the tram routes of the Trambaix light rail network serving the Barcelona metropolitan area.
-
D.
T1
T1 is one of the main tram lines in Casablanca’s urban light rail network, providing mass transit service across key districts of the city.
-
E.
T6
T6 is a tram line within the Trambesòs light rail network serving the Barcelona metropolitan area.
- 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: T 18 Triple: [Saab 18, airForceDesignation, T 18]
Generated description
T 18 is the Swedish Air Force designation for a bomber and attack variant of the Saab 18 aircraft used during and after World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: T 18 Target entity description: T 18 is the Swedish Air Force designation for a bomber and attack variant of the Saab 18 aircraft used during and after World War II.
-
A.
T1 International
T1 International is the international passenger terminal at an airport commonly referred to as Terminal 1.
-
B.
T1
T1 is a tram line serving the Lyon metropolitan area in France, connecting key districts including Villeurbanne.
-
C.
T1
T1 is one of the tram routes of the Trambaix light rail network serving the Barcelona metropolitan area.
-
D.
T1
T1 is one of the main tram lines in Casablanca’s urban light rail network, providing mass transit service across key districts of the city.
-
E.
T6
T6 is a tram line within the Trambesòs light rail network serving the Barcelona metropolitan area.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9828748190b2ad9ea29180b7d3 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c101ea60819098e4d5fb3a9e803a |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c277e6248190870b3bf9869716a7 |
completed | May 3, 2026, 3:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c38bc0b08190b76cb0853d99ad82 |
completed | May 3, 2026, 3:39 a.m. |
Created at: April 9, 2026, 8:46 p.m.