Triple
T10625663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oranjestad |
E250315
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Lower Town
Lower Town is a district within Oranjestad, the capital city of Aruba, known for its coastal setting and local residential character.
|
E877855
|
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: Lower Town | Statement: [Oranjestad, hasSubdivision, Lower Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lower Town Context triple: [Oranjestad, hasSubdivision, Lower Town]
-
A.
Lower Town
Lower Town is the riverside section of Belgrade Fortress, historically serving as its commercial and military quarter along the confluence of the Sava and Danube rivers.
-
B.
Low Town
Low Town is the riverside lower district of Bridgnorth, Shropshire, historically known for its wharves, bridges, and connection to the town’s cliff railway up to High Town.
-
C.
Upper Town
Upper Town is the historic core of Belgrade Fortress, featuring ancient ramparts, gates, and landmarks overlooking the confluence of the Sava and Danube rivers.
-
D.
Upper Town
Upper Town is a district or neighborhood within Oranjestad, the capital city of Aruba.
-
E.
Lower City
Lower City is the main residential and administrative quarter of the ancient Hittite capital Hattusa, containing key temples, houses, and public buildings.
- 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: Lower Town Triple: [Oranjestad, hasSubdivision, Lower Town]
Generated description
Lower Town is a district within Oranjestad, the capital city of Aruba, known for its coastal setting and local residential character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lower Town Target entity description: Lower Town is a district within Oranjestad, the capital city of Aruba, known for its coastal setting and local residential character.
-
A.
Lower Town
Lower Town is the riverside section of Belgrade Fortress, historically serving as its commercial and military quarter along the confluence of the Sava and Danube rivers.
-
B.
Low Town
Low Town is the riverside lower district of Bridgnorth, Shropshire, historically known for its wharves, bridges, and connection to the town’s cliff railway up to High Town.
-
C.
Upper Town
Upper Town is the historic core of Belgrade Fortress, featuring ancient ramparts, gates, and landmarks overlooking the confluence of the Sava and Danube rivers.
-
D.
Upper Town
Upper Town is a district or neighborhood within Oranjestad, the capital city of Aruba.
-
E.
Lower City
Lower City is the main residential and administrative quarter of the ancient Hittite capital Hattusa, containing key temples, houses, and public buildings.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df80a30c81909f36fe221cf68822 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a356e548190ab7a4a2c7111ba89 |
completed | April 10, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69d97cc07100819088683a0d79b2baa0 |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e0cda0c8190af5013b971b2ad3c |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 8:54 p.m.