Triple
T13996901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Geray |
E336721
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Ungvár
Ungvár is the historical Hungarian name for the city now known as Uzhhorod, a regional center in western Ukraine near the Slovak border.
|
E1074276
|
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: Ungvár | Statement: [Steven Geray, placeOfBirth, Ungvár]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ungvár Context triple: [Steven Geray, placeOfBirth, Ungvár]
-
A.
Dunaharaszti
Dunaharaszti is a town in central Hungary that functions largely as a suburban residential and industrial area near Budapest.
-
B.
Trencsén
Trencsén is a historic town in present-day Slovakia, known for its medieval castle and its role as an important regional center in the former Upper Hungary.
-
C.
Sajó
Sajó is a river in Central Europe that flows through Slovakia and northeastern Hungary before joining the Tisza River.
-
D.
Bodrogköz
Bodrogköz is a low-lying, marshy region in northeastern Hungary known for its riverine landscapes, wetlands, and traditional rural settlements.
-
E.
Zólyom
Zólyom is the historical Hungarian name for the Slovak town of Zvolen, an important medieval center in central Slovakia.
- 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: Ungvár Triple: [Steven Geray, placeOfBirth, Ungvár]
Generated description
Ungvár is the historical Hungarian name for the city now known as Uzhhorod, a regional center in western Ukraine near the Slovak border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ungvár Target entity description: Ungvár is the historical Hungarian name for the city now known as Uzhhorod, a regional center in western Ukraine near the Slovak border.
-
A.
Dunaharaszti
Dunaharaszti is a town in central Hungary that functions largely as a suburban residential and industrial area near Budapest.
-
B.
Trencsén
Trencsén is a historic town in present-day Slovakia, known for its medieval castle and its role as an important regional center in the former Upper Hungary.
-
C.
Sajó
Sajó is a river in Central Europe that flows through Slovakia and northeastern Hungary before joining the Tisza River.
-
D.
Bodrogköz
Bodrogköz is a low-lying, marshy region in northeastern Hungary known for its riverine landscapes, wetlands, and traditional rural settlements.
-
E.
Zólyom
Zólyom is the historical Hungarian name for the Slovak town of Zvolen, an important medieval center in central Slovakia.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb68ba88190bfaf10777d607bf3 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac9d4a54819091c7efbeb4dcc5f7 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbadc6cb2c8190bdf66ad1fa6dd392 |
completed | May 6, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbb01071408190a85e5e9be0150593 |
completed | May 6, 2026, 9:18 p.m. |
Created at: April 9, 2026, 10:19 p.m.