Triple
T9703618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pest County |
E234839
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Cegléd
Cegléd is a historic town in central Hungary known for its spa culture, agricultural markets, and role as a regional transport hub.
|
E817330
|
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: Cegléd | Statement: [Pest County, hasSettlement, Cegléd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cegléd Context triple: [Pest County, hasSettlement, Cegléd]
-
A.
Csákvár
Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
-
B.
Bicske
Bicske is a small town in central Hungary known for its historical significance and location along major transportation routes west of Budapest.
-
C.
Bodrogköz
Bodrogköz is a low-lying, marshy region in northeastern Hungary known for its riverine landscapes, wetlands, and traditional rural settlements.
-
D.
Ercsi
Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
-
E.
Sajó
Sajó is a river in Central Europe that flows through Slovakia and northeastern Hungary before joining the Tisza River.
- 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: Cegléd Triple: [Pest County, hasSettlement, Cegléd]
Generated description
Cegléd is a historic town in central Hungary known for its spa culture, agricultural markets, and role as a regional transport hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cegléd Target entity description: Cegléd is a historic town in central Hungary known for its spa culture, agricultural markets, and role as a regional transport hub.
-
A.
Csákvár
Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
-
B.
Bicske
Bicske is a small town in central Hungary known for its historical significance and location along major transportation routes west of Budapest.
-
C.
Bodrogköz
Bodrogköz is a low-lying, marshy region in northeastern Hungary known for its riverine landscapes, wetlands, and traditional rural settlements.
-
D.
Ercsi
Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
-
E.
Sajó
Sajó is a river in Central Europe that flows through Slovakia and northeastern Hungary before joining the Tisza River.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d73a0148190ad4178fd462cdd9c |
completed | April 1, 2026, 10:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f800ec48190bc3028ecb3baeb28 |
completed | April 4, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d1a3cc5420819091ee338da5afe4b7 |
completed | April 4, 2026, 11:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a5f265148190af432e3640221a33 |
completed | April 4, 2026, 11:59 p.m. |
Created at: March 30, 2026, 8:18 p.m.