Triple
T12348523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oldřich |
E294420
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object |
Olda
Olda is a Czech diminutive form of the male given name Oldřich.
|
E977663
|
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: Olda | Statement: [Oldřich, hasShortForm, Olda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olda Context triple: [Oldřich, hasShortForm, Olda]
-
A.
Olgovichi
Olgovichi were a prominent princely branch of the Rurikid dynasty that ruled various principalities in medieval Kievan Rus, particularly centered around Chernigov.
-
B.
Olesko
Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
-
C.
Orzola
Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
-
D.
Gonda
Gonda is a city in the Indian state of Uttar Pradesh, known for its agricultural economy and proximity to the Ghaghara River.
-
E.
Dannhauser
Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
- 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: Olda Triple: [Oldřich, hasShortForm, Olda]
Generated description
Olda is a Czech diminutive form of the male given name Oldřich.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olda Target entity description: Olda is a Czech diminutive form of the male given name Oldřich.
-
A.
Olgovichi
Olgovichi were a prominent princely branch of the Rurikid dynasty that ruled various principalities in medieval Kievan Rus, particularly centered around Chernigov.
-
B.
Olesko
Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
-
C.
Orzola
Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
-
D.
Gonda
Gonda is a city in the Indian state of Uttar Pradesh, known for its agricultural economy and proximity to the Ghaghara River.
-
E.
Dannhauser
Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7ba17481908b03af7316b28d9b |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aae8d7c8190a722c28a5a153d1d |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c569a6c8190aecf8a4c627d8893 |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d0c2568819083e66c8ae484d30d |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 8, 2026, 9:53 p.m.