Triple
T14186855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernisse |
E351599
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Biert
Biert is a small village in the South Holland region of the Netherlands, historically part of the former municipality of Bernisse.
|
E1086293
|
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: Biert | Statement: [Bernisse, containsSettlement, Biert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biert Context triple: [Bernisse, containsSettlement, Biert]
-
A.
Bier
Bier is a surname of German origin borne by various individuals, including the Danish film director Susanne Bier.
-
B.
Bock
Bock is a German-origin surname borne by various notable individuals across fields such as science, the military, and the arts.
-
C.
Dienstbier
Dienstbier is a Czech surname most notably associated with Jiří Dienstbier, a prominent dissident, journalist, and post-communist foreign minister of Czechoslovakia.
-
D.
Biervliet
Biervliet is a small town in the Dutch province of Zeeland, located within the municipality of Terneuzen.
-
E.
Kellerbier
Kellerbier is a traditional unfiltered and naturally carbonated German lager, especially associated with the Franconia (Franken) region, known for its fresh, cellar-served character.
- 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: Biert Triple: [Bernisse, containsSettlement, Biert]
Generated description
Biert is a small village in the South Holland region of the Netherlands, historically part of the former municipality of Bernisse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Biert Target entity description: Biert is a small village in the South Holland region of the Netherlands, historically part of the former municipality of Bernisse.
-
A.
Bier
Bier is a surname of German origin borne by various individuals, including the Danish film director Susanne Bier.
-
B.
Bock
Bock is a German-origin surname borne by various notable individuals across fields such as science, the military, and the arts.
-
C.
Dienstbier
Dienstbier is a Czech surname most notably associated with Jiří Dienstbier, a prominent dissident, journalist, and post-communist foreign minister of Czechoslovakia.
-
D.
Biervliet
Biervliet is a small town in the Dutch province of Zeeland, located within the municipality of Terneuzen.
-
E.
Kellerbier
Kellerbier is a traditional unfiltered and naturally carbonated German lager, especially associated with the Franconia (Franken) region, known for its fresh, cellar-served character.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61cd5778819092a03597bcdcc182 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19433dc08190b4d2f1aef1b2d67d |
completed | May 7, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69fd1ad65b608190b325c82347a3d8b3 |
completed | May 7, 2026, 11:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1b68e8288190a9e9e3d855ed2719 |
completed | May 7, 2026, 11:08 p.m. |
Created at: April 10, 2026, 1:03 a.m.