Triple
T5472496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Achern |
E122866
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Góra
Góra is a town in southwestern Poland known as the seat of Góra County in the Lower Silesian Voivodeship.
|
E523461
|
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: Góra | Statement: [Achern, hasTwinTown, Góra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Góra Context triple: [Achern, hasTwinTown, Góra]
-
A.
Skała
Skała is a small historic town in southern Poland, located near Kraków and known as a gateway to the scenic Ojców National Park.
-
B.
Bystra
Bystra is a prominent peak in the Western Tatras, known as the highest summit on the Slovak side of this mountain range.
-
C.
Gora
Gora is a major Bengali novel by Rabindranath Tagore that explores themes of identity, nationalism, and religious and social reform in colonial India.
-
D.
Chełm mountain
Chełm mountain is a scenic hill in southern Poland popular for hiking, skiing, and panoramic views over the town of Myślenice and the surrounding Beskid region.
-
E.
Gubałówka Hill
Gubałówka Hill is a popular scenic peak in the Tatra region of southern Poland, known for its panoramic views over Zakopane and the surrounding mountains and for being easily accessible by funicular.
- 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: Góra Triple: [Achern, hasTwinTown, Góra]
Generated description
Góra is a town in southwestern Poland known as the seat of Góra County in the Lower Silesian Voivodeship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Góra Target entity description: Góra is a town in southwestern Poland known as the seat of Góra County in the Lower Silesian Voivodeship.
-
A.
Skała
Skała is a small historic town in southern Poland, located near Kraków and known as a gateway to the scenic Ojców National Park.
-
B.
Bystra
Bystra is a prominent peak in the Western Tatras, known as the highest summit on the Slovak side of this mountain range.
-
C.
Gora
Gora is a major Bengali novel by Rabindranath Tagore that explores themes of identity, nationalism, and religious and social reform in colonial India.
-
D.
Chełm mountain
Chełm mountain is a scenic hill in southern Poland popular for hiking, skiing, and panoramic views over the town of Myślenice and the surrounding Beskid region.
-
E.
Gubałówka Hill
Gubałówka Hill is a popular scenic peak in the Tatra region of southern Poland, known for its panoramic views over Zakopane and the surrounding mountains and for being easily accessible by funicular.
- 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4895b77c819089629d2296a230bc |
completed | March 22, 2026, 1:40 a.m. |
| NEDg | Description generation | batch_69bf4c43b8bc81908b28e1b8287400c7 |
completed | March 22, 2026, 1:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf4cadc9508190a901a6fe6702f1b7 |
completed | March 22, 2026, 1:58 a.m. |
Created at: March 20, 2026, 2:09 p.m.