Triple
T11543424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanctuary |
E273726
|
entity |
| Predicate | notableRegion |
P22
|
FINISHED |
| Object |
Hawezar
Hawezar is a swampy, treacherous region in the Diablo universe’s world of Sanctuary, known for its deadly marshes, dark magic, and ruthless inhabitants.
|
E932545
|
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: Hawezar | Statement: [Sanctuary, notableRegion, Hawezar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hawezar Context triple: [Sanctuary, notableRegion, Hawezar]
-
A.
Bakhdida
Bakhdida is a historically Assyrian Christian town in northern Iraq, known for its ancient churches and location in the Nineveh Plains near Mosul.
-
B.
Kharas
Kharas is a Palestinian village located in the Hebron Governorate in the southern West Bank.
-
C.
Kuhdasht
Kuhdasht is a city in western Iran known as an agricultural and regional center within Lorestan Province.
-
D.
Khardaha
Khardaha is a suburban city in the Indian state of West Bengal, located near Kolkata along the Hooghly River and known as part of the Kolkata metropolitan area.
-
E.
Hafezieh
Hafezieh is a famous mausoleum and cultural site in Shiraz, Iran, dedicated to the revered Persian poet Hafez and known for its beautiful gardens and traditional architecture.
- 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: Hawezar Triple: [Sanctuary, notableRegion, Hawezar]
Generated description
Hawezar is a swampy, treacherous region in the Diablo universe’s world of Sanctuary, known for its deadly marshes, dark magic, and ruthless inhabitants.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hawezar Target entity description: Hawezar is a swampy, treacherous region in the Diablo universe’s world of Sanctuary, known for its deadly marshes, dark magic, and ruthless inhabitants.
-
A.
Bakhdida
Bakhdida is a historically Assyrian Christian town in northern Iraq, known for its ancient churches and location in the Nineveh Plains near Mosul.
-
B.
Kharas
Kharas is a Palestinian village located in the Hebron Governorate in the southern West Bank.
-
C.
Kuhdasht
Kuhdasht is a city in western Iran known as an agricultural and regional center within Lorestan Province.
-
D.
Khardaha
Khardaha is a suburban city in the Indian state of West Bengal, located near Kolkata along the Hooghly River and known as part of the Kolkata metropolitan area.
-
E.
Hafezieh
Hafezieh is a famous mausoleum and cultural site in Shiraz, Iran, dedicated to the revered Persian poet Hafez and known for its beautiful gardens and traditional architecture.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e1d754819089f3b6be3404fa0b |
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.