Triple
T1809757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nabataean kingdom |
E40303
|
entity |
| Predicate | majorPort |
P528
|
FINISHED |
| Object |
Leuke Kome
Leuke Kome was an important Nabataean Red Sea port settlement that served as a key hub for trade between Arabia, Egypt, and the Mediterranean world.
|
E202445
|
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: Leuke Kome | Statement: [Nabataean kingdom, majorPort, Leuke Kome]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leuke Kome Context triple: [Nabataean kingdom, majorPort, Leuke Kome]
-
A.
Ommelanden
Ommelanden is the rural region surrounding the city of Groningen in the northern Netherlands, historically known for its Frisian culture and agricultural landscape.
-
B.
Hemkade
Hemkade is a waterfront area near Amsterdam known for its industrial setting and event venues, accessible via the city's ferry network.
-
C.
Konin
Konin is an industrial city in central Poland known for its power plants and location along the Warta River.
-
D.
Kwintsheul
Kwintsheul is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the Westland region.
-
E.
Oshiwambo
Oshiwambo is a Bantu language (or cluster of closely related dialects) widely spoken by the Ovambo people in northern Namibia and southern Angola.
- 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: Leuke Kome Triple: [Nabataean kingdom, majorPort, Leuke Kome]
Generated description
Leuke Kome was an important Nabataean Red Sea port settlement that served as a key hub for trade between Arabia, Egypt, and the Mediterranean world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leuke Kome Target entity description: Leuke Kome was an important Nabataean Red Sea port settlement that served as a key hub for trade between Arabia, Egypt, and the Mediterranean world.
-
A.
Ommelanden
Ommelanden is the rural region surrounding the city of Groningen in the northern Netherlands, historically known for its Frisian culture and agricultural landscape.
-
B.
Hemkade
Hemkade is a waterfront area near Amsterdam known for its industrial setting and event venues, accessible via the city's ferry network.
-
C.
Konin
Konin is an industrial city in central Poland known for its power plants and location along the Warta River.
-
D.
Kwintsheul
Kwintsheul is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the Westland region.
-
E.
Oshiwambo
Oshiwambo is a Bantu language (or cluster of closely related dialects) widely spoken by the Ovambo people in northern Namibia and southern Angola.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65c310d88190bfd9c27fa238e648 |
completed | March 6, 2026, 5:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5e352d88190839cde25e3c07d95 |
completed | March 8, 2026, 5:46 p.m. |
| NEDg | Description generation | batch_69adb8b6d160819096dc02323049101d |
completed | March 8, 2026, 5:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adb9bafd688190a66a835c6a8163e3 |
completed | March 8, 2026, 6:02 p.m. |
Created at: March 4, 2026, 7:32 p.m.