Triple
T10333625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harz district |
E242940
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Huy
Huy is a hill range and forested area in Saxony-Anhalt, Germany, known for its natural landscapes and historical sites.
|
E856589
|
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: Huy | Statement: [Harz district, contains, Huy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huy Context triple: [Harz district, contains, Huy]
-
A.
Huy
Huy is a historic city in the Walloon region of Belgium, known for its medieval architecture and strategic location along the Meuse River.
-
B.
Huy Lieu
Huy Lieu is the given name of Tran Huy Lieu, a notable Vietnamese historian, writer, and revolutionary figure.
-
C.
Huynh
Huynh is a Vietnamese surname commonly borne by individuals of Vietnamese heritage.
-
D.
Huan
Huan is a given name most notably associated with the contemporary Chinese artist Zhang Huan, known for his performance and conceptual art.
-
E.
Huwon
Huwon is the secret rear garden of Changdeokgung Palace in Seoul, renowned for its landscaped ponds, pavilions, and natural woodland used historically as a royal retreat.
- 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: Huy Triple: [Harz district, contains, Huy]
Generated description
Huy is a hill range and forested area in Saxony-Anhalt, Germany, known for its natural landscapes and historical sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huy Target entity description: Huy is a hill range and forested area in Saxony-Anhalt, Germany, known for its natural landscapes and historical sites.
-
A.
Huy
Huy is a historic city in the Walloon region of Belgium, known for its medieval architecture and strategic location along the Meuse River.
-
B.
Huy Lieu
Huy Lieu is the given name of Tran Huy Lieu, a notable Vietnamese historian, writer, and revolutionary figure.
-
C.
Huynh
Huynh is a Vietnamese surname commonly borne by individuals of Vietnamese heritage.
-
D.
Huan
Huan is a given name most notably associated with the contemporary Chinese artist Zhang Huan, known for his performance and conceptual art.
-
E.
Huwon
Huwon is the secret rear garden of Changdeokgung Palace in Seoul, renowned for its landscaped ponds, pavilions, and natural woodland used historically as a royal retreat.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4dfc366b481909c49f199892e9d42 |
completed | April 7, 2026, 10:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d75054515081908240f985f8b6e2df |
completed | April 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69d75184cd1c81909e86153bbb516d4f |
completed | April 9, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7521f0d1c81909f9ae3b46981cdbc |
completed | April 9, 2026, 7:15 a.m. |
Created at: April 6, 2026, 11:53 a.m.