Triple
T6860044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noordenveld |
E158251
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Altena
Altena is a small village in the municipality of Noordenveld in the province of Drenthe in the northeastern Netherlands.
|
E629967
|
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: Altena | Statement: [Noordenveld, hasVillage, Altena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altena Context triple: [Noordenveld, hasVillage, Altena]
-
A.
Altena
Altena is a town in western Germany’s North Rhine-Westphalia region, known for its historic hilltop castle and role in the industrial and cultural history of the Sauerland area.
-
B.
Fürstenwalde
Fürstenwalde is a town in eastern Germany’s Brandenburg region, known for its location on the River Spree and its historic churches and medieval architecture.
-
C.
Jüterbog
Jüterbog is a historic town in the German state of Brandenburg, known for its medieval architecture and long-standing cultural heritage.
-
D.
Zerbst
Zerbst is a historic town in Saxony-Anhalt, Germany, known as the birthplace of Catherine the Great and for its former role as a princely residence.
-
E.
Weiterstadt
Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
- 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: Altena Triple: [Noordenveld, hasVillage, Altena]
Generated description
Altena is a small village in the municipality of Noordenveld in the province of Drenthe in the northeastern Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Altena Target entity description: Altena is a small village in the municipality of Noordenveld in the province of Drenthe in the northeastern Netherlands.
-
A.
Altena
Altena is a town in western Germany’s North Rhine-Westphalia region, known for its historic hilltop castle and role in the industrial and cultural history of the Sauerland area.
-
B.
Fürstenwalde
Fürstenwalde is a town in eastern Germany’s Brandenburg region, known for its location on the River Spree and its historic churches and medieval architecture.
-
C.
Jüterbog
Jüterbog is a historic town in the German state of Brandenburg, known for its medieval architecture and long-standing cultural heritage.
-
D.
Zerbst
Zerbst is a historic town in Saxony-Anhalt, Germany, known as the birthplace of Catherine the Great and for its former role as a princely residence.
-
E.
Weiterstadt
Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
- 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8737fac81909fc546ca2bf6a278 |
completed | March 27, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7511828608190b3a206629b27d410 |
completed | March 28, 2026, 3:55 a.m. |
| NEDg | Description generation | batch_69c751abed548190ac2152acd3029d2d |
completed | March 28, 2026, 3:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7558dd72081909af14d319ce01ff6 |
completed | March 28, 2026, 4:14 a.m. |
Created at: March 27, 2026, 2:21 p.m.