Triple
T10473247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wieluń |
E246981
|
entity |
| Predicate | germanName |
P6492
|
FINISHED |
| Object |
Welun
Welun is the German name for the Polish town of Wieluń, known for being one of the first places bombed at the start of World War II.
|
E864654
|
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: Welun | Statement: [Wieluń, germanName, Welun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Welun Context triple: [Wieluń, germanName, Welun]
-
A.
Wyulda
Wyulda is a genus of Australian marsupials commonly known as scaly-tailed possums, characterized by their prehensile tails and arboreal lifestyle.
-
B.
Walwen
Walwen is an alternative medieval name for Sir Gawain, one of the most famous Knights of the Round Table in Arthurian legend.
-
C.
Torwali
Torwali is an Indo-Aryan language spoken primarily by the Torwali community in Pakistan’s Swat Valley, known for its distinct phonology and endangered status.
-
D.
Wotho
Wotho is a small inhabited island in the Marshall Islands that serves as the main settlement and administrative center of Wotho Atoll.
-
E.
Velda
Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
- 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: Welun Triple: [Wieluń, germanName, Welun]
Generated description
Welun is the German name for the Polish town of Wieluń, known for being one of the first places bombed at the start of World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Welun Target entity description: Welun is the German name for the Polish town of Wieluń, known for being one of the first places bombed at the start of World War II.
-
A.
Wyulda
Wyulda is a genus of Australian marsupials commonly known as scaly-tailed possums, characterized by their prehensile tails and arboreal lifestyle.
-
B.
Walwen
Walwen is an alternative medieval name for Sir Gawain, one of the most famous Knights of the Round Table in Arthurian legend.
-
C.
Torwali
Torwali is an Indo-Aryan language spoken primarily by the Torwali community in Pakistan’s Swat Valley, known for its distinct phonology and endangered status.
-
D.
Wotho
Wotho is a small inhabited island in the Marshall Islands that serves as the main settlement and administrative center of Wotho Atoll.
-
E.
Velda
Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5094daac081908e0ba5e10c1bbb67 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a0140f4c81908ce95b28e09cb04b |
completed | April 10, 2026, 7 a.m. |
| NEDg | Description generation | batch_69d8a166404881909c28141fefea2936 |
completed | April 10, 2026, 7:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8a2c550ac81908444c6abfe14698a |
completed | April 10, 2026, 7:12 a.m. |
Created at: April 6, 2026, 12:20 p.m.