Triple
T16131788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapiti Coast |
E391415
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object |
Peka Peka
Peka Peka is a small coastal settlement on New Zealand’s Kāpiti Coast, known for its quiet beachside character and natural surroundings.
|
E1195293
|
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: Peka Peka | Statement: [Kapiti Coast, hasSuburb, Peka Peka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peka Peka Context triple: [Kapiti Coast, hasSuburb, Peka Peka]
-
A.
Pukanec
Pukanec is a historic village and former mining town in central Slovakia known for its past silver and gold extraction.
-
B.
Pakurumo
Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
-
C.
Ko Poda
Ko Poda is a small, scenic island in Thailand’s Andaman Sea, known for its white-sand beaches, clear turquoise waters, and limestone cliffs, and is a popular day-trip destination from Krabi.
-
D.
Pangkajene
Pangkajene is a town in South Sulawesi, Indonesia, serving as the administrative and economic center of the Pangkajene and Islands Regency.
-
E.
Tongaat
Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
- 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: Peka Peka Triple: [Kapiti Coast, hasSuburb, Peka Peka]
Generated description
Peka Peka is a small coastal settlement on New Zealand’s Kāpiti Coast, known for its quiet beachside character and natural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peka Peka Target entity description: Peka Peka is a small coastal settlement on New Zealand’s Kāpiti Coast, known for its quiet beachside character and natural surroundings.
-
A.
Pukanec
Pukanec is a historic village and former mining town in central Slovakia known for its past silver and gold extraction.
-
B.
Pakurumo
Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
-
C.
Ko Poda
Ko Poda is a small, scenic island in Thailand’s Andaman Sea, known for its white-sand beaches, clear turquoise waters, and limestone cliffs, and is a popular day-trip destination from Krabi.
-
D.
Pangkajene
Pangkajene is a town in South Sulawesi, Indonesia, serving as the administrative and economic center of the Pangkajene and Islands Regency.
-
E.
Tongaat
Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a02172c8190978f7951ccd80928 |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2b1b7248190a1bba4a87db8318b |
completed | May 10, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_69fff3478bfc8190bbcc0afbf6dbb089 |
completed | May 10, 2026, 2:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff3d29f50819093a9355d016f48dd |
completed | May 10, 2026, 2:56 a.m. |
Created at: April 10, 2026, 5:01 a.m.