Triple
T11687471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seberang Perai |
E277779
|
entity |
| Predicate | containsUrbanArea |
P11388
|
FINISHED |
| Object |
Perai
Perai is an industrial and commercial town in Seberang Perai, Penang, Malaysia, known for its manufacturing zones and proximity to the Penang Bridge.
|
E941023
|
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: Perai | Statement: [Seberang Perai, containsUrbanArea, Perai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perai Context triple: [Seberang Perai, containsUrbanArea, Perai]
-
A.
Parai
Parai is a traditional Tamil frame drum used in folk music, rituals, and social gatherings, often associated with ceremonial and community performances.
-
B.
Parea
Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
-
C.
Peren
Peren is a town and administrative center in the northeastern Indian state of Nagaland.
-
D.
Peraia
Peraia is a locality in Greece known historically as the place where Ecuadorian statesman and first president Juan José Flores died.
-
E.
Peraia
Peraia is a coastal town in northern Greece situated near Thessaloniki, known for its beaches along the Thermaic Gulf.
- 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: Perai Triple: [Seberang Perai, containsUrbanArea, Perai]
Generated description
Perai is an industrial and commercial town in Seberang Perai, Penang, Malaysia, known for its manufacturing zones and proximity to the Penang Bridge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Perai Target entity description: Perai is an industrial and commercial town in Seberang Perai, Penang, Malaysia, known for its manufacturing zones and proximity to the Penang Bridge.
-
A.
Parai
Parai is a traditional Tamil frame drum used in folk music, rituals, and social gatherings, often associated with ceremonial and community performances.
-
B.
Parea
Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
-
C.
Peren
Peren is a town and administrative center in the northeastern Indian state of Nagaland.
-
D.
Peraia
Peraia is a locality in Greece known historically as the place where Ecuadorian statesman and first president Juan José Flores died.
-
E.
Peraia
Peraia is a coastal town in northern Greece situated near Thessaloniki, known for its beaches along the Thermaic Gulf.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4654be881909bd0256cf18e25de |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef14431f3c81908af9167c46f8c2bc |
completed | April 27, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69ef511f8f688190b2806d4e8ab16511 |
completed | April 27, 2026, 12:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef537efcc48190afffaa50f28940d8 |
completed | April 27, 2026, 12:15 p.m. |
Created at: April 8, 2026, 9:40 p.m.