Triple
T883163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hradec Králové |
E19071
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object |
Orlice
Orlice is a river in the Czech Republic that flows through the city of Hradec Králové and is a tributary of the Labe (Elbe) River.
|
E129687
|
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: Orlice | Statement: [Hradec Králové, locatedOnRiver, Orlice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orlice Context triple: [Hradec Králové, locatedOnRiver, Orlice]
-
A.
Pirna
Pirna is a historic town in eastern Germany situated on the River Elbe, known as a gateway to the Saxon Switzerland National Park.
-
B.
Würschnitz
Würschnitz is a small river in Saxony, Germany, that serves as one of the tributaries feeding into the Chemnitz River.
-
C.
Orava
Orava is a historical region in northern Slovakia and southern Poland, known for its mountainous landscapes, traditional villages, and the prominent Orava Castle.
-
D.
Lech River
The Lech River is a major Alpine river flowing through Austria and southern Germany, known for its scenic course, hydropower use, and role as a tributary of the Danube.
-
E.
Trzebinia
Trzebinia is a town in southern Poland known for its industrial character and location between Kraków and Katowice.
- 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: Orlice Triple: [Hradec Králové, locatedOnRiver, Orlice]
Generated description
Orlice is a river in the Czech Republic that flows through the city of Hradec Králové and is a tributary of the Labe (Elbe) River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orlice Target entity description: Orlice is a river in the Czech Republic that flows through the city of Hradec Králové and is a tributary of the Labe (Elbe) River.
-
A.
Pirna
Pirna is a historic town in eastern Germany situated on the River Elbe, known as a gateway to the Saxon Switzerland National Park.
-
B.
Würschnitz
Würschnitz is a small river in Saxony, Germany, that serves as one of the tributaries feeding into the Chemnitz River.
-
C.
Orava
Orava is a historical region in northern Slovakia and southern Poland, known for its mountainous landscapes, traditional villages, and the prominent Orava Castle.
-
D.
Lech River
The Lech River is a major Alpine river flowing through Austria and southern Germany, known for its scenic course, hydropower use, and role as a tributary of the Danube.
-
E.
Trzebinia
Trzebinia is a town in southern Poland known for its industrial character and location between Kraków and Katowice.
- 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4accda4148190aa628dab14d7f5de |
completed | March 1, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac598e6ccc8190b0d75d36036f5e42 |
completed | March 7, 2026, 4:59 p.m. |
| NEDg | Description generation | batch_69ac5a8b342881909b11d86270717d72 |
completed | March 7, 2026, 5:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac5af24a948190a37c832508149a48 |
completed | March 7, 2026, 5:05 p.m. |
Created at: March 1, 2026, 7:39 p.m.