Triple
T13276911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Cros |
E316213
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Fabrezan
Fabrezan is a small commune in the Aude department of southern France, known for its wine production and picturesque location in the Corbières region.
|
E1031797
|
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: Fabrezan | Statement: [Charles Cros, birthPlace, Fabrezan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fabrezan Context triple: [Charles Cros, birthPlace, Fabrezan]
-
A.
Vravrona
Vravrona is an archaeological and coastal area in eastern Attica, Greece, known for the sanctuary of Artemis and its well-preserved ancient remains.
-
B.
Daulida
Daulida is an alternative name for the ancient Greek town of Daulis in the region of Phocis.
-
C.
Èze
Èze is a picturesque medieval hilltop village on the French Riviera, famed for its stunning views over the Mediterranean and its charming narrow streets.
-
D.
Rissani
Rissani is a historic town in eastern Morocco, known as a gateway to the Sahara Desert and an important former caravan and trading center.
-
E.
Laranda
Laranda was an important ancient city in the region of Lycaonia in central Anatolia, known from Hellenistic and Roman times.
- 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: Fabrezan Triple: [Charles Cros, birthPlace, Fabrezan]
Generated description
Fabrezan is a small commune in the Aude department of southern France, known for its wine production and picturesque location in the Corbières region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fabrezan Target entity description: Fabrezan is a small commune in the Aude department of southern France, known for its wine production and picturesque location in the Corbières region.
-
A.
Vravrona
Vravrona is an archaeological and coastal area in eastern Attica, Greece, known for the sanctuary of Artemis and its well-preserved ancient remains.
-
B.
Daulida
Daulida is an alternative name for the ancient Greek town of Daulis in the region of Phocis.
-
C.
Èze
Èze is a picturesque medieval hilltop village on the French Riviera, famed for its stunning views over the Mediterranean and its charming narrow streets.
-
D.
Rissani
Rissani is a historic town in eastern Morocco, known as a gateway to the Sahara Desert and an important former caravan and trading center.
-
E.
Laranda
Laranda was an important ancient city in the region of Lycaonia in central Anatolia, known from Hellenistic and Roman times.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99042f56c819082440c89c0adc442 |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a54ff488190a759b46963c0d842 |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f713088cc48190b705336339527f46 |
completed | May 3, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f713bd94048190a61dbd955bd1c542 |
completed | May 3, 2026, 9:22 a.m. |
Created at: April 9, 2026, 9:26 p.m.