Triple
T17288246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tairua |
E419713
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Mount Paku
Mount Paku is a small volcanic peak and popular scenic lookout located near the coastal town of Tairua on New Zealand’s Coromandel Peninsula.
|
E1269580
|
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: Mount Paku | Statement: [Tairua, hasLandmark, Mount Paku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Paku Context triple: [Tairua, hasLandmark, Mount Paku]
-
A.
Mount Empung
Mount Empung is an active stratovolcano in North Sulawesi, Indonesia, forming a twin volcanic complex with the adjacent Mount Lokon.
-
B.
Mount Pangasun
Mount Pangasun is the tallest volcanic peak in the remote Babuyan Islands of the northern Philippines.
-
C.
Mount Soputan
Mount Soputan is an active stratovolcano located on the northern arm of Sulawesi in Indonesia, known for its frequent explosive eruptions.
-
D.
Mount Lokon
Mount Lokon is an active stratovolcano in North Sulawesi, Indonesia, known for its frequent eruptions and significant volcanic activity.
-
E.
Mount Heha
Mount Heha is the tallest mountain in Burundi, located in the Burundi Highlands near the city of Bujumbura.
- 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: Mount Paku Triple: [Tairua, hasLandmark, Mount Paku]
Generated description
Mount Paku is a small volcanic peak and popular scenic lookout located near the coastal town of Tairua on New Zealand’s Coromandel Peninsula.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mount Paku Target entity description: Mount Paku is a small volcanic peak and popular scenic lookout located near the coastal town of Tairua on New Zealand’s Coromandel Peninsula.
-
A.
Mount Empung
Mount Empung is an active stratovolcano in North Sulawesi, Indonesia, forming a twin volcanic complex with the adjacent Mount Lokon.
-
B.
Mount Pangasun
Mount Pangasun is the tallest volcanic peak in the remote Babuyan Islands of the northern Philippines.
-
C.
Mount Soputan
Mount Soputan is an active stratovolcano located on the northern arm of Sulawesi in Indonesia, known for its frequent explosive eruptions.
-
D.
Mount Lokon
Mount Lokon is an active stratovolcano in North Sulawesi, Indonesia, known for its frequent eruptions and significant volcanic activity.
-
E.
Mount Heha
Mount Heha is the tallest mountain in Burundi, located in the Burundi Highlands near the city of Bujumbura.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43781b7808190a0528ee9c54a0c66 |
completed | April 19, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01afdd9d1c8190b9d264c6a0202a25 |
completed | May 11, 2026, 10:30 a.m. |
| NEDg | Description generation | batch_6a01b145221c8190b03388672af3402f |
completed | May 11, 2026, 10:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b208e6d8819080a363da368ec2e9 |
completed | May 11, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:40 a.m.