Triple
T20947558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pohangina River |
E515888
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object |
Pohangina
Pohangina is a small rural settlement in the Manawatū region of New Zealand, known for its scenic river valley, farming community, and outdoor recreation opportunities.
|
E1460160
|
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: Pohangina | Statement: [Pohangina River, nearbySettlement, Pohangina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pohangina Context triple: [Pohangina River, nearbySettlement, Pohangina]
-
A.
Paju
Paju is a city in South Korea near the Demilitarized Zone, known for its historical sites, cultural complexes, and role as a border hub with North Korea.
-
B.
Taongi
Taongi is a remote, uninhabited coral atoll in the Marshall Islands known for its rich marine biodiversity and relatively undisturbed natural environment.
-
C.
Mahwa
Mahwa is a town located in the Dausa district of the Indian state of Rajasthan.
-
D.
Hadong
Hadong is a county in South Gyeongsang Province, South Korea, known for its scenic landscapes along the Seomjin River and its traditional green tea cultivation.
-
E.
Gulgong
Gulgong is a historic gold rush town in New South Wales, Australia, known for its well-preserved 19th-century streetscapes and heritage buildings.
- 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: Pohangina Triple: [Pohangina River, nearbySettlement, Pohangina]
Generated description
Pohangina is a small rural settlement in the Manawatū region of New Zealand, known for its scenic river valley, farming community, and outdoor recreation opportunities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pohangina Target entity description: Pohangina is a small rural settlement in the Manawatū region of New Zealand, known for its scenic river valley, farming community, and outdoor recreation opportunities.
-
A.
Paju
Paju is a city in South Korea near the Demilitarized Zone, known for its historical sites, cultural complexes, and role as a border hub with North Korea.
-
B.
Taongi
Taongi is a remote, uninhabited coral atoll in the Marshall Islands known for its rich marine biodiversity and relatively undisturbed natural environment.
-
C.
Mahwa
Mahwa is a town located in the Dausa district of the Indian state of Rajasthan.
-
D.
Hadong
Hadong is a county in South Gyeongsang Province, South Korea, known for its scenic landscapes along the Seomjin River and its traditional green tea cultivation.
-
E.
Gulgong
Gulgong is a historic gold rush town in New South Wales, Australia, known for its well-preserved 19th-century streetscapes and heritage buildings.
- 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fad97aa48190b4be692e3afce8c9 |
completed | April 21, 2026, 4:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a092fad48208190a635a77aba1160a1 |
completed | May 17, 2026, 3:02 a.m. |
| NEDg | Description generation | batch_6a0930d331048190b0674cca7012afb3 |
completed | May 17, 2026, 3:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09310ed6b48190b556b1599cf8664c |
completed | May 17, 2026, 3:07 a.m. |
Created at: April 16, 2026, 12:58 p.m.