Triple
T3346266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valencia Airport |
E70381
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
LEVC
LEVC is the ICAO airport code for Valencia Airport, the main international airport serving the city of Valencia in Spain.
|
E350368
|
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: LEVC | Statement: [Valencia Airport, ICAOcode, LEVC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LEVC Context triple: [Valencia Airport, ICAOcode, LEVC]
-
A.
BYD Seal
The BYD Seal is a mid-size all-electric sedan from Chinese automaker BYD, known for its modern design, advanced battery technology, and competitive range in the global EV market.
-
B.
BYD Tang
The BYD Tang is a mid-size crossover SUV from Chinese automaker BYD, best known for its plug-in hybrid and electric variants that offer strong performance and competitive range.
-
C.
Polestar
Polestar is a Swedish automotive brand focused on high-performance electric vehicles and advanced automotive technology.
-
D.
BYD Dolphin
The BYD Dolphin is a compact all-electric hatchback from Chinese automaker BYD, known for its affordability, modern design, and efficient urban-friendly range.
-
E.
Maxus
Maxus is a commercial vehicle brand known for producing vans, pickups, and light trucks, owned by the Chinese automotive giant SAIC Motor.
- 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: LEVC Triple: [Valencia Airport, ICAOcode, LEVC]
Generated description
LEVC is the ICAO airport code for Valencia Airport, the main international airport serving the city of Valencia in Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LEVC Target entity description: LEVC is the ICAO airport code for Valencia Airport, the main international airport serving the city of Valencia in Spain.
-
A.
BYD Seal
The BYD Seal is a mid-size all-electric sedan from Chinese automaker BYD, known for its modern design, advanced battery technology, and competitive range in the global EV market.
-
B.
BYD Tang
The BYD Tang is a mid-size crossover SUV from Chinese automaker BYD, best known for its plug-in hybrid and electric variants that offer strong performance and competitive range.
-
C.
Polestar
Polestar is a Swedish automotive brand focused on high-performance electric vehicles and advanced automotive technology.
-
D.
BYD Dolphin
The BYD Dolphin is a compact all-electric hatchback from Chinese automaker BYD, known for its affordability, modern design, and efficient urban-friendly range.
-
E.
Maxus
Maxus is a commercial vehicle brand known for producing vans, pickups, and light trucks, owned by the Chinese automotive giant SAIC Motor.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1f4ff888190bf14b9b7fbe9bcee |
completed | March 8, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b32522cbc88190b965087a580d7acf |
completed | March 12, 2026, 8:42 p.m. |
| NEDg | Description generation | batch_69b325a0de7c8190a33ae611b8450b5a |
completed | March 12, 2026, 8:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b326862e848190bf1bea74b6ab0b36 |
completed | March 12, 2026, 8:48 p.m. |
Created at: March 8, 2026, 3:12 p.m.