Triple
T16856713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferenc Dávid |
E409801
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object |
Déva
Déva is a historic Transylvanian town, now in Romania, known for its medieval fortress overlooking the Mureș River.
|
E1236376
|
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: Déva | Statement: [Ferenc Dávid, placeOfDeath, Déva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Déva Context triple: [Ferenc Dávid, placeOfDeath, Déva]
-
A.
Belev
Belev is a historic town in Tula Oblast, Russia, known for its medieval origins and role as a local administrative and cultural center.
-
B.
Berriane
Berriane is a town in Algeria known as part of the historic M’zab oasis region, characterized by its traditional architecture and Saharan environment.
-
C.
Turgis
Turgis is a massive impact crater on Saturn’s moon Iapetus, notable for its enormous size and prominent steep walls.
-
D.
Veroia
Veroia is a historic city in northern Greece, known for its Byzantine churches, Ottoman-era architecture, and proximity to the ancient Macedonian site of Vergina.
-
E.
Bardac
Bardac is a French surname most notably associated with Emma Bardac, a Parisian socialite and singer who became the second wife of composer Claude Debussy.
- 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: Déva Triple: [Ferenc Dávid, placeOfDeath, Déva]
Generated description
Déva is a historic Transylvanian town, now in Romania, known for its medieval fortress overlooking the Mureș River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Déva Target entity description: Déva is a historic Transylvanian town, now in Romania, known for its medieval fortress overlooking the Mureș River.
-
A.
Belev
Belev is a historic town in Tula Oblast, Russia, known for its medieval origins and role as a local administrative and cultural center.
-
B.
Berriane
Berriane is a town in Algeria known as part of the historic M’zab oasis region, characterized by its traditional architecture and Saharan environment.
-
C.
Turgis
Turgis is a massive impact crater on Saturn’s moon Iapetus, notable for its enormous size and prominent steep walls.
-
D.
Veroia
Veroia is a historic city in northern Greece, known for its Byzantine churches, Ottoman-era architecture, and proximity to the ancient Macedonian site of Vergina.
-
E.
Bardac
Bardac is a French surname most notably associated with Emma Bardac, a Parisian socialite and singer who became the second wife of composer Claude Debussy.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37e34b88190bb4468424e2edf2d |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb2337348190ae79dc4b188c94cf |
completed | May 10, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_6a00bbe7e4c4819081d0bfd1ac427c49 |
completed | May 10, 2026, 5:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00bc73e4e88190a8327ba48174f923 |
completed | May 10, 2026, 5:12 p.m. |
Created at: April 10, 2026, 5:24 a.m.