Triple
T10122432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pulbah Island |
E223326
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object |
Wangi Wangi
Wangi Wangi is a lakeside town in New South Wales, Australia, situated on the shores of Lake Macquarie and known for its waterfront recreation and residential community.
|
E842603
|
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: Wangi Wangi | Statement: [Pulbah Island, hasNearbyTown, Wangi Wangi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wangi Wangi Context triple: [Pulbah Island, hasNearbyTown, Wangi Wangi]
-
A.
Sawanih
Sawanih is a notable literary work by the Indian poet Faizi, recognized for its contribution to classical Persian literature in South Asia.
-
B.
Blanga
Blanga is an Austronesian language spoken primarily on the island of Santa Isabel in the Solomon Islands.
-
C.
Kabu Kabu
Kabu Kabu is a speculative fiction short story collection by Nnedi Okorafor that blends African folklore, magical realism, and contemporary themes.
-
D.
Okha
Okha is a town in the northern part of Russia’s Sakhalin Island known historically for its oil and gas industry.
-
E.
Okha
Okha is a coastal town and port in Gujarat, India, known as a gateway to the island pilgrimage site of Bet Dwarka.
- 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: Wangi Wangi Triple: [Pulbah Island, hasNearbyTown, Wangi Wangi]
Generated description
Wangi Wangi is a lakeside town in New South Wales, Australia, situated on the shores of Lake Macquarie and known for its waterfront recreation and residential community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wangi Wangi Target entity description: Wangi Wangi is a lakeside town in New South Wales, Australia, situated on the shores of Lake Macquarie and known for its waterfront recreation and residential community.
-
A.
Sawanih
Sawanih is a notable literary work by the Indian poet Faizi, recognized for its contribution to classical Persian literature in South Asia.
-
B.
Blanga
Blanga is an Austronesian language spoken primarily on the island of Santa Isabel in the Solomon Islands.
-
C.
Kabu Kabu
Kabu Kabu is a speculative fiction short story collection by Nnedi Okorafor that blends African folklore, magical realism, and contemporary themes.
-
D.
Okha
Okha is a town in the northern part of Russia’s Sakhalin Island known historically for its oil and gas industry.
-
E.
Okha
Okha is a coastal town and port in Gujarat, India, known as a gateway to the island pilgrimage site of Bet Dwarka.
- 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_69ca8422047c81909d66b717b8b18cf3 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd26846b8819098594bf211920eb2 |
completed | April 2, 2026, 2:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cc52a4948190a7397c83912f3b15 |
completed | April 5, 2026, 8:55 p.m. |
| NEDg | Description generation | batch_69d2cd901c148190afb27759cc176f89 |
completed | April 5, 2026, 9:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2ce6da82081908ca6b3621971ca9a |
completed | April 5, 2026, 9:04 p.m. |
Created at: March 30, 2026, 9:05 p.m.