Triple
T19427600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dien Bien Phu Airport |
E486023
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
VVDB
VVDB is the ICAO airport code assigned to Dien Bien Phu Airport in Vietnam.
|
E1375380
|
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: VVDB | Statement: [Dien Bien Phu Airport, ICAOcode, VVDB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VVDB Context triple: [Dien Bien Phu Airport, ICAOcode, VVDB]
-
A.
Zabivaka
Zabivaka is the wolf character that served as the official mascot for major international football tournaments hosted by Russia, including the 2018 FIFA World Cup.
-
B.
Torvalla
Torvalla is a residential district and suburb of Östersund in Jämtland County, Sweden.
-
C.
Vamp
Vamp is a 1986 horror-comedy film about two college students who encounter a deadly vampire-run strip club, noted for its campy tone and Grace Jones’s striking performance.
-
D.
Volpaia
Volpaia is a historic medieval hilltop village in Tuscany, Italy, renowned for its Chianti Classico wine production and well-preserved stone architecture.
-
E.
Volm
The Volm are an advanced alien species in the TV series "Falling Skies" who arrive on Earth as potential allies to humanity in its war against the Espheni invaders.
- 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: VVDB Triple: [Dien Bien Phu Airport, ICAOcode, VVDB]
Generated description
VVDB is the ICAO airport code assigned to Dien Bien Phu Airport in Vietnam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VVDB Target entity description: VVDB is the ICAO airport code assigned to Dien Bien Phu Airport in Vietnam.
-
A.
Zabivaka
Zabivaka is the wolf character that served as the official mascot for major international football tournaments hosted by Russia, including the 2018 FIFA World Cup.
-
B.
Torvalla
Torvalla is a residential district and suburb of Östersund in Jämtland County, Sweden.
-
C.
Vamp
Vamp is a 1986 horror-comedy film about two college students who encounter a deadly vampire-run strip club, noted for its campy tone and Grace Jones’s striking performance.
-
D.
Volpaia
Volpaia is a historic medieval hilltop village in Tuscany, Italy, renowned for its Chianti Classico wine production and well-preserved stone architecture.
-
E.
Volm
The Volm are an advanced alien species in the TV series "Falling Skies" who arrive on Earth as potential allies to humanity in its war against the Espheni invaders.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6321abb9c81908ad73c2cd537d0f1 |
completed | April 20, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0733d68614819093078d34753ab83d |
completed | May 15, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_6a073491b60c8190a41a15410e865219 |
completed | May 15, 2026, 2:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a073545b2e48190a8cb78cb25785017 |
completed | May 15, 2026, 3:01 p.m. |
Created at: April 10, 2026, 1:37 p.m.