Triple
T15618038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Budapest 13th district |
E375469
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Angyalföld |
E349611
|
NE FINISHED |
How this triple was built (2 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: Angyalföld | Statement: [Budapest 13th district, hasPart, Angyalföld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angyalföld Context triple: [Budapest 13th district, hasPart, Angyalföld]
-
A.
Angyalföld
chosen
Angyalföld is a neighborhood in Budapest, Hungary, forming a major part of the city’s 13th district on the Pest side of the Danube.
-
B.
Eternia
Eternia is a character known for being part of the Justus League, a group of heroes in the relevant fictional universe.
-
C.
Eternia
Eternia is the fictional, magic-infused homeworld of He-Man and other characters in the Masters of the Universe franchise.
-
D.
Verden
Verden is a historic town in Lower Saxony, Germany, known for its medieval cathedral and location along the Weser River.
-
E.
Erath
Erath is a surname most notably associated with George Bernard Erath, a 19th-century Texas surveyor, soldier, and politician.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e997ce481909b2f10d25705fbc6 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56def20881909f835dd44ab9ac2b |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:13 a.m.