Triple
T12506515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mureș County |
E298961
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Reghin
Reghin is a town in central Romania known for its traditional violin-making industry and location in Mureș County, Transylvania.
|
E986764
|
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: Reghin | Statement: [Mureș County, hasMajorCity, Reghin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reghin Context triple: [Mureș County, hasMajorCity, Reghin]
-
A.
Sinaia
Sinaia is a Romanian mountain resort town in the Carpathians, famed for Peleș Castle and its historic role as a royal summer residence.
-
B.
Baia Mare
Baia Mare is a city in northwestern Romania known for its mining history, surrounding Carpathian landscapes, and role as an important regional cultural and economic center.
-
C.
Tighina
Tighina is a historic city in present-day Moldova, also known as Bender, which has long held strategic importance on the Dniester River.
-
D.
Galați
Galați is a major Romanian port city in eastern Romania, situated near the border with Moldova and known for its shipbuilding and steel industries.
-
E.
Odorheiu Secuiesc
Odorheiu Secuiesc is a town in central Romania known for its significant Székely Hungarian community and cultural heritage.
- 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: Reghin Triple: [Mureș County, hasMajorCity, Reghin]
Generated description
Reghin is a town in central Romania known for its traditional violin-making industry and location in Mureș County, Transylvania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Reghin Target entity description: Reghin is a town in central Romania known for its traditional violin-making industry and location in Mureș County, Transylvania.
-
A.
Sinaia
Sinaia is a Romanian mountain resort town in the Carpathians, famed for Peleș Castle and its historic role as a royal summer residence.
-
B.
Baia Mare
Baia Mare is a city in northwestern Romania known for its mining history, surrounding Carpathian landscapes, and role as an important regional cultural and economic center.
-
C.
Tighina
Tighina is a historic city in present-day Moldova, also known as Bender, which has long held strategic importance on the Dniester River.
-
D.
Galați
Galați is a major Romanian port city in eastern Romania, situated near the border with Moldova and known for its shipbuilding and steel industries.
-
E.
Odorheiu Secuiesc
Odorheiu Secuiesc is a town in central Romania known for its significant Székely Hungarian community and cultural heritage.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfddf38819099263b8b1e804736 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bb5af708190b3786da334c3bf23 |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64ce1b0ec8190bcbd245255e548b5 |
completed | May 2, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64da735f48190b051ce173c13e5b2 |
completed | May 2, 2026, 7:16 p.m. |
Created at: April 8, 2026, 9:57 p.m.