Triple
T10619428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ans |
E295668
|
entity |
| Predicate | sharesBorderWith |
P224
|
FINISHED |
| Object |
Awans
Awans is a municipality in the province of Liège in Wallonia, Belgium, known for its semi-rural character and proximity to the city of Liège.
|
E875475
|
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: Awans | Statement: [Ans, sharesBorderWith, Awans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Awans Context triple: [Ans, sharesBorderWith, Awans]
-
A.
Nakasero
Nakasero is a central and upscale neighborhood in Kampala, Uganda, known for its government offices, embassies, hotels, and commercial centers.
-
B.
Promasens
Promasens is a small Swiss municipality located in the canton of Fribourg within the Glâne District.
-
C.
Montaza
Montaza is a coastal district and popular recreational area in Alexandria, Egypt, known for its historic royal palace, expansive gardens, and Mediterranean beaches.
-
D.
Tivat
Tivat is a coastal town in Montenegro known for its luxury marina Porto Montenegro and proximity to the Bay of Kotor.
-
E.
Thaton
Thaton is an ancient city in southern Myanmar historically significant as a major center of the Mon kingdom and Theravada Buddhism in the region.
- 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: Awans Triple: [Ans, sharesBorderWith, Awans]
Generated description
Awans is a municipality in the province of Liège in Wallonia, Belgium, known for its semi-rural character and proximity to the city of Liège.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Awans Target entity description: Awans is a municipality in the province of Liège in Wallonia, Belgium, known for its semi-rural character and proximity to the city of Liège.
-
A.
Nakasero
Nakasero is a central and upscale neighborhood in Kampala, Uganda, known for its government offices, embassies, hotels, and commercial centers.
-
B.
Promasens
Promasens is a small Swiss municipality located in the canton of Fribourg within the Glâne District.
-
C.
Montaza
Montaza is a coastal district and popular recreational area in Alexandria, Egypt, known for its historic royal palace, expansive gardens, and Mediterranean beaches.
-
D.
Tivat
Tivat is a coastal town in Montenegro known for its luxury marina Porto Montenegro and proximity to the Bay of Kotor.
-
E.
Thaton
Thaton is an ancient city in southern Myanmar historically significant as a major center of the Mon kingdom and Theravada Buddhism in the region.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d6df6ee1848190a7d5fcd40b06cfe3 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b86a5bc8190863034cc91fdbbb9 |
completed | April 10, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69d96def8bfc81909d6a5addf724691b |
completed | April 10, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d96fedb18881908570593856f4aade |
completed | April 10, 2026, 9:47 p.m. |
Created at: April 8, 2026, 8:21 p.m.