Triple
T12042184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tachov District |
E286688
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Cebiv
Cebiv is a small municipality and village in the Plzeň Region of the Czech Republic.
|
E961123
|
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: Cebiv | Statement: [Tachov District, contains, Cebiv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cebiv Context triple: [Tachov District, contains, Cebiv]
-
A.
Cebgo
Cebgo is a Philippine low-cost regional airline operating domestic routes and serving as a feeder carrier for Cebu Pacific.
-
B.
Cimbom
Cimbom is a popular nickname for the Turkish football club Galatasaray S.K., widely used by its fans and in Turkish sports culture.
-
C.
Celebic
Celebic is a major subgroup of the Austronesian language family comprising numerous related languages spoken primarily on the Indonesian island of Sulawesi.
-
D.
Ceddo
Ceddo is a 1977 Senegalese film by Ousmane Sembène that critiques religious and colonial imposition through the story of a traditional community resisting forced conversion and external domination.
-
E.
Cenabum
Cenabum was an important ancient Gallic city and trading center of the Carnutes, located on the Loire River where the modern French city of Orléans now stands.
- 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: Cebiv Triple: [Tachov District, contains, Cebiv]
Generated description
Cebiv is a small municipality and village in the Plzeň Region of the Czech Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cebiv Target entity description: Cebiv is a small municipality and village in the Plzeň Region of the Czech Republic.
-
A.
Cebgo
Cebgo is a Philippine low-cost regional airline operating domestic routes and serving as a feeder carrier for Cebu Pacific.
-
B.
Cimbom
Cimbom is a popular nickname for the Turkish football club Galatasaray S.K., widely used by its fans and in Turkish sports culture.
-
C.
Celebic
Celebic is a major subgroup of the Austronesian language family comprising numerous related languages spoken primarily on the Indonesian island of Sulawesi.
-
D.
Ceddo
Ceddo is a 1977 Senegalese film by Ousmane Sembène that critiques religious and colonial imposition through the story of a traditional community resisting forced conversion and external domination.
-
E.
Cenabum
Cenabum was an important ancient Gallic city and trading center of the Carnutes, located on the Loire River where the modern French city of Orléans now stands.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9040d13108190bd1a969fa62aae5a |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49da728ec819080c349fd8d0ed62c |
completed | May 1, 2026, 12:33 p.m. |
| NEDg | Description generation | batch_69f53d9460bc8190869f2b7d095d98cb |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f56495830c8190ad5e1767f251b4c5 |
completed | May 2, 2026, 2:42 a.m. |
Created at: April 8, 2026, 9:47 p.m.