Triple
T4071415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Václav Havel Airport Prague |
E86655
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
PRG
PRG is the three-letter IATA airport code for Václav Havel Airport Prague, the main international airport serving Prague, Czech Republic.
|
E410269
|
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: PRG | Statement: [Václav Havel Airport Prague, IATAcode, PRG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PRG Context triple: [Václav Havel Airport Prague, IATAcode, PRG]
-
A.
PRTC
PRTC is a public transit agency serving Northern Virginia with commuter and local bus services.
-
B.
PRTC
PRTC was a leftist Salvadoran guerrilla organization that became one of the constituent groups of the Farabundo Martí National Liberation Front (FMLN) during El Salvador’s civil war.
-
C.
PRTC
PRTC stands for Primary Reference Time Clock, a highly accurate timing source used in telecommunications networks to provide traceable time and phase synchronization.
-
D.
Proz
Proz is a musical artist known for contributing featured vocals to the track "Birth of a Prince."
-
E.
PLG
PLG is a regional coalition of Polynesian countries and territories that collaborates on shared political, economic, social, and environmental issues in the Pacific.
- 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: PRG Triple: [Václav Havel Airport Prague, IATAcode, PRG]
Generated description
PRG is the three-letter IATA airport code for Václav Havel Airport Prague, the main international airport serving Prague, Czech Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PRG Target entity description: PRG is the three-letter IATA airport code for Václav Havel Airport Prague, the main international airport serving Prague, Czech Republic.
-
A.
PRTC
PRTC is a public transit agency serving Northern Virginia with commuter and local bus services.
-
B.
PRTC
PRTC was a leftist Salvadoran guerrilla organization that became one of the constituent groups of the Farabundo Martí National Liberation Front (FMLN) during El Salvador’s civil war.
-
C.
PRTC
PRTC stands for Primary Reference Time Clock, a highly accurate timing source used in telecommunications networks to provide traceable time and phase synchronization.
-
D.
Proz
Proz is a musical artist known for contributing featured vocals to the track "Birth of a Prince."
-
E.
PLG
PLG is a regional coalition of Polynesian countries and territories that collaborates on shared political, economic, social, and environmental issues in the Pacific.
- 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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc20ed788190bd935082a348a05d |
completed | March 9, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562b99e84819085e1616fb9a61465 |
completed | March 14, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_69b563ced83c81908d7eff6a54b3b66c |
completed | March 14, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b564893f44819086ffe89101217f53 |
completed | March 14, 2026, 1:37 p.m. |
Created at: March 9, 2026, 3:38 p.m.