Triple
T6261544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N10 national road |
E140310
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Nakop
Nakop is a small border settlement in the Northern Cape province of South Africa, located at the frontier with Namibia.
|
E580675
|
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: Nakop | Statement: [N10 national road, connectsTo, Nakop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nakop Context triple: [N10 national road, connectsTo, Nakop]
-
A.
Naklua
Naklua is a coastal district in the northern part of Pattaya, Thailand, known for its traditional fishing community, seafood markets, and quieter, more local atmosphere compared to central Pattaya.
-
B.
Naknek
Naknek is a small fishing community in southwestern Alaska known for its salmon canning industry and location near Bristol Bay.
-
C.
Nakara
Nakara is a residential suburb in the northern part of Darwin, Northern Territory, Australia, known for its family-friendly streets and proximity to Casuarina’s major shopping and educational facilities.
-
D.
Nakawa
Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
-
E.
Nakai
Nakai is a small town in Kanagawa Prefecture, Japan, known for its rural character and proximity to larger cities like Hadano.
- 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: Nakop Triple: [N10 national road, connectsTo, Nakop]
Generated description
Nakop is a small border settlement in the Northern Cape province of South Africa, located at the frontier with Namibia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nakop Target entity description: Nakop is a small border settlement in the Northern Cape province of South Africa, located at the frontier with Namibia.
-
A.
Naklua
Naklua is a coastal district in the northern part of Pattaya, Thailand, known for its traditional fishing community, seafood markets, and quieter, more local atmosphere compared to central Pattaya.
-
B.
Naknek
Naknek is a small fishing community in southwestern Alaska known for its salmon canning industry and location near Bristol Bay.
-
C.
Nakara
Nakara is a residential suburb in the northern part of Darwin, Northern Territory, Australia, known for its family-friendly streets and proximity to Casuarina’s major shopping and educational facilities.
-
D.
Nakawa
Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
-
E.
Nakai
Nakai is a small town in Kanagawa Prefecture, Japan, known for its rural character and proximity to larger cities like Hadano.
- 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_69c008c95c5c819084bd3dd56133d84d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06386a7b48190b032edd12078c5bc |
completed | March 22, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c2444a71b081908b7686034ce7e01b |
completed | March 24, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_69c2a5f01b0081908d056633942ef732 |
completed | March 24, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c4fb839b2481909caa57f34a8837db |
completed | March 26, 2026, 9:25 a.m. |
Created at: March 22, 2026, 4:25 p.m.