Triple
T11541823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azeroth |
E273692
|
entity |
| Predicate | homeToRace |
P99607
|
FINISHED |
| Object |
worgen
Worgen are a feral, wolf-like humanoid race in the Warcraft universe, known for their curse-driven transformation and dual human-beast nature.
|
E930981
|
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: worgen | Statement: [Azeroth, homeToRace, worgen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: worgen Context triple: [Azeroth, homeToRace, worgen]
-
A.
Wolfen
Wolfen is a town in Saxony-Anhalt, Germany, historically known for its chemical industry and photographic film production, which later became part of the city of Bitterfeld-Wolfen through a municipal merger.
-
B.
Wölfi
Wölfi is a diminutive, affectionate form of the German given name Wolfgang, often used as a nickname.
-
C.
Wilczęta
Wilczęta is a small village in northern Poland located within the Warmian-Masurian Voivodeship, known for its rural character and proximity to the region’s lakes and forests.
-
D.
Würges
Würges is a district of the spa town Bad Camberg in the Limburg-Weilburg region of Hesse, Germany.
-
E.
Garwolin
Garwolin is a town in eastern Poland, located in the Masovian Voivodeship southeast of Warsaw.
- 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: worgen Triple: [Azeroth, homeToRace, worgen]
Generated description
Worgen are a feral, wolf-like humanoid race in the Warcraft universe, known for their curse-driven transformation and dual human-beast nature.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: worgen Target entity description: Worgen are a feral, wolf-like humanoid race in the Warcraft universe, known for their curse-driven transformation and dual human-beast nature.
-
A.
Worgen
chosen
Worgen are feral, wolf-like humanoids from the Warcraft universe, known for their cursed transformation between human and beast forms and their prominent role in Gilneas’s dark, gothic lore.
-
B.
Wolfen
Wolfen is a town in Saxony-Anhalt, Germany, historically known for its chemical industry and photographic film production, which later became part of the city of Bitterfeld-Wolfen through a municipal merger.
-
C.
Wölfi
Wölfi is a diminutive, affectionate form of the German given name Wolfgang, often used as a nickname.
-
D.
Wilczęta
Wilczęta is a small village in northern Poland located within the Warmian-Masurian Voivodeship, known for its rural character and proximity to the region’s lakes and forests.
-
E.
Würges
Würges is a district of the spa town Bad Camberg in the Limburg-Weilburg region of Hesse, Germany.
- F. None of above.
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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e09eec8190894069d86b79183d |
completed | April 10, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e685bbb0cc8190b60a1eea13a3b423 |
completed | April 20, 2026, 7:59 p.m. |
| NEDg | Description generation | batch_69e68fd8dcf08190b9e0cc7f868cb6a0 |
completed | April 20, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6c10910548190b863e6f4a9a81ac3 |
completed | April 21, 2026, 12:12 a.m. |
Created at: April 8, 2026, 9:37 p.m.