Triple
T22704249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapu Beach |
E561405
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Kapu town
Kapu town is a coastal settlement in Karnataka, India, known for its scenic Arabian Sea shoreline and popular beach tourism.
|
E1550856
|
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: Kapu town | Statement: [Kapu Beach, locatedIn, Kapu town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kapu town Context triple: [Kapu Beach, locatedIn, Kapu town]
-
A.
Tatau town
Tatau town is a small riverside settlement in Sarawak, Malaysia, known for its proximity to the Tatau River and its role as a local administrative and trading center.
-
B.
Watari Town
Watari Town is a coastal municipality in northeastern Japan known for its agriculture, particularly strawberry cultivation, and its location along the Pacific Ocean in Miyagi Prefecture.
-
C.
Shingu Town
Shingu Town is a coastal municipality in Fukuoka Prefecture, Japan, known for its seaside location near Fukuoka City and views over Hakata Bay.
-
D.
Wakuya Town
Wakuya Town is a small rural municipality in northeastern Japan known for its historical gold mining heritage and scenic countryside.
-
E.
Sikka town
Sikka town is a coastal settlement in Gujarat, India, known for its proximity to major industrial and port facilities.
- 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: Kapu town Triple: [Kapu Beach, locatedIn, Kapu town]
Generated description
Kapu town is a coastal settlement in Karnataka, India, known for its scenic Arabian Sea shoreline and popular beach tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kapu town Target entity description: Kapu town is a coastal settlement in Karnataka, India, known for its scenic Arabian Sea shoreline and popular beach tourism.
-
A.
Tatau town
Tatau town is a small riverside settlement in Sarawak, Malaysia, known for its proximity to the Tatau River and its role as a local administrative and trading center.
-
B.
Watari Town
Watari Town is a coastal municipality in northeastern Japan known for its agriculture, particularly strawberry cultivation, and its location along the Pacific Ocean in Miyagi Prefecture.
-
C.
Shingu Town
Shingu Town is a coastal municipality in Fukuoka Prefecture, Japan, known for its seaside location near Fukuoka City and views over Hakata Bay.
-
D.
Wakuya Town
Wakuya Town is a small rural municipality in northeastern Japan known for its historical gold mining heritage and scenic countryside.
-
E.
Sikka town
Sikka town is a coastal settlement in Gujarat, India, known for its proximity to major industrial and port facilities.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178cca1e48190bbe7910f13692803 |
completed | April 29, 2026, 3:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b7ed5d848819095bd8c0f1954ff2d |
completed | May 18, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_6a0b80dc01a0819087337e44a1cf437e |
completed | May 18, 2026, 9:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b816a956c8190895d87f74c4785f8 |
completed | May 18, 2026, 9:15 p.m. |
Created at: April 17, 2026, 3:16 p.m.