Triple
T13180807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Gniew (1626) |
E313718
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object |
Gniew
Gniew is a historic town in northern Poland, known for its medieval Teutonic castle and its role in early modern military conflicts.
|
E1026194
|
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: Gniew | Statement: [Battle of Gniew (1626), location, Gniew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gniew Context triple: [Battle of Gniew (1626), location, Gniew]
-
A.
Anger
Anger is a municipality in the Bavarian Alps of southeastern Germany, known for its scenic landscapes and traditional rural character.
-
B.
Anger
Anger is one of the core emotion characters in Pixar's Inside Out films, embodying fiery frustration and outrage within the mind of the protagonist.
-
C.
Acrimony
Acrimony is a 2018 psychological thriller film written and directed by Tyler Perry, starring Taraji P. Henson as a scorned wife seeking revenge on her unfaithful husband.
-
D.
Resentment
"Resentment" is an R&B ballad best known for Beyoncé's emotionally charged rendition about betrayal and heartbreak.
-
E.
Envy
Envy is a new emotion character in Pixar's "Inside Out 2," embodying feelings of jealousy and longing in the mind of the protagonist.
- 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: Gniew Triple: [Battle of Gniew (1626), location, Gniew]
Generated description
Gniew is a historic town in northern Poland, known for its medieval Teutonic castle and its role in early modern military conflicts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gniew Target entity description: Gniew is a historic town in northern Poland, known for its medieval Teutonic castle and its role in early modern military conflicts.
-
A.
Anger
Anger is a municipality in the Bavarian Alps of southeastern Germany, known for its scenic landscapes and traditional rural character.
-
B.
Anger
Anger is one of the core emotion characters in Pixar's Inside Out films, embodying fiery frustration and outrage within the mind of the protagonist.
-
C.
Acrimony
Acrimony is a 2018 psychological thriller film written and directed by Tyler Perry, starring Taraji P. Henson as a scorned wife seeking revenge on her unfaithful husband.
-
D.
Resentment
"Resentment" is an R&B ballad best known for Beyoncé's emotionally charged rendition about betrayal and heartbreak.
-
E.
Envy
Envy is a new emotion character in Pixar's "Inside Out 2," embodying feelings of jealousy and longing in the mind of the protagonist.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c490ed081908ea54edb25c3de90 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5ee66188190afb75a598a2f8211 |
completed | May 3, 2026, 7:14 a.m. |
| NEDg | Description generation | batch_69f6f6e10f2481909b405169dd7e5cf9 |
completed | May 3, 2026, 7:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f73b301881909d792dfebd2e468f |
completed | May 3, 2026, 7:20 a.m. |
Created at: April 9, 2026, 9:14 p.m.