Triple
T14549646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerna Valley |
E341380
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Topleț
Topleț is a small settlement located in Romania’s scenic Cerna Valley, known for its natural landscapes and proximity to the Southern Carpathians.
|
E1105350
|
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: Topleț | Statement: [Cerna Valley, hasSettlement, Topleț]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Topleț Context triple: [Cerna Valley, hasSettlement, Topleț]
-
A.
Târnăveni
Târnăveni is a town in central Romania, historically known for its chemical industry and location in the Transylvania region.
-
B.
Torda
Torda is an alternative historical name for the Romanian city of Turda, known for its rich history and notable salt mine in Transylvania.
-
C.
Tapolca
Tapolca is a small Hungarian town in the Transdanubian region, known for its scenic karst landscape and the famous Tapolca Lake Cave.
-
D.
Dorobanți
Dorobanți is an upscale residential and commercial neighborhood in northern Bucharest, known for its embassies, cafes, and elegant streets.
-
E.
Chepelare
Chepelare is a small Bulgarian mountain town and ski resort located in the Rhodope Mountains, known for its winter sports facilities and scenic surroundings.
- 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: Topleț Triple: [Cerna Valley, hasSettlement, Topleț]
Generated description
Topleț is a small settlement located in Romania’s scenic Cerna Valley, known for its natural landscapes and proximity to the Southern Carpathians.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Topleț Target entity description: Topleț is a small settlement located in Romania’s scenic Cerna Valley, known for its natural landscapes and proximity to the Southern Carpathians.
-
A.
Târnăveni
Târnăveni is a town in central Romania, historically known for its chemical industry and location in the Transylvania region.
-
B.
Torda
Torda is an alternative historical name for the Romanian city of Turda, known for its rich history and notable salt mine in Transylvania.
-
C.
Tapolca
Tapolca is a small Hungarian town in the Transdanubian region, known for its scenic karst landscape and the famous Tapolca Lake Cave.
-
D.
Dorobanți
Dorobanți is an upscale residential and commercial neighborhood in northern Bucharest, known for its embassies, cafes, and elegant streets.
-
E.
Chepelare
Chepelare is a small Bulgarian mountain town and ski resort located in the Rhodope Mountains, known for its winter sports facilities and scenic surroundings.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ed2b4c8190945bd26531c71f1f |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a6344b08190a3c1124c6dd7da96 |
completed | May 8, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69fd7cede0548190a3712a773982300b |
completed | May 8, 2026, 6:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7e915db88190af076e979207a458 |
completed | May 8, 2026, 6:11 a.m. |
Created at: April 10, 2026, 1:23 a.m.