Triple
T14438198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poitiers–Biard Airport |
E358020
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Biard
Biard is a commune in western France, near the city of Poitiers, known for hosting the regional Poitiers–Biard Airport.
|
E1099319
|
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: Biard | Statement: [Poitiers–Biard Airport, locatedIn, Biard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biard Context triple: [Poitiers–Biard Airport, locatedIn, Biard]
-
A.
Brummbär
The Brummbär was a German World War II armored assault gun based on the Panzer IV chassis and armed with a heavy 150 mm howitzer for close-support urban and fortification attacks.
-
B.
Loup
The Loup is a river in southeastern France that flows through the Alpes-Maritimes department, known for its scenic gorges and popular outdoor recreation areas.
-
C.
Gavrio
Gavrio is the main port town of the Greek island of Andros in the Cyclades, serving as its primary gateway by sea.
-
D.
Nattier
Nattier is a French surname most famously associated with Jean-Marc Nattier, an 18th-century painter known for his portraits of the ladies of Louis XV’s court.
-
E.
Badger
Badger is a wise, kind, and somewhat reclusive character from Kenneth Grahame’s "The Wind in the Willows," known for offering guidance and shelter to his woodland friends.
- 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: Biard Triple: [Poitiers–Biard Airport, locatedIn, Biard]
Generated description
Biard is a commune in western France, near the city of Poitiers, known for hosting the regional Poitiers–Biard Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Biard Target entity description: Biard is a commune in western France, near the city of Poitiers, known for hosting the regional Poitiers–Biard Airport.
-
A.
Brummbär
The Brummbär was a German World War II armored assault gun based on the Panzer IV chassis and armed with a heavy 150 mm howitzer for close-support urban and fortification attacks.
-
B.
Loup
The Loup is a river in southeastern France that flows through the Alpes-Maritimes department, known for its scenic gorges and popular outdoor recreation areas.
-
C.
Gavrio
Gavrio is the main port town of the Greek island of Andros in the Cyclades, serving as its primary gateway by sea.
-
D.
Nattier
Nattier is a French surname most famously associated with Jean-Marc Nattier, an 18th-century painter known for his portraits of the ladies of Louis XV’s court.
-
E.
Badger
Badger is the NATO reporting name for the Soviet-era Tupolev Tu-16, a twin-engine jet strategic bomber widely used during the Cold War.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914a45ec81909ab8ccf302047d7f |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bd7f46881908df1a1cea7b6af9b |
completed | May 8, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_69fd5d585cc08190908bc5f9b8abdb82 |
completed | May 8, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5e0bbd6c8190b14039b3335692c7 |
completed | May 8, 2026, 3:52 a.m. |
Created at: April 10, 2026, 1:18 a.m.