Triple
T10486535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alor Setar |
E247312
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Pekan Rabu
Pekan Rabu is a historic and popular traditional market in Alor Setar, Kedah, known for its wide range of local handicrafts, foods, and Malay cultural products.
|
E866913
|
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: Pekan Rabu | Statement: [Alor Setar, hasLandmark, Pekan Rabu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pekan Rabu Context triple: [Alor Setar, hasLandmark, Pekan Rabu]
-
A.
Çarşamba
Çarşamba is a town and district in Turkey’s Black Sea region, known for its agricultural economy and proximity to the provincial capital Samsun.
-
B.
A Thursday
A Thursday is a 2022 Indian thriller film centered on a schoolteacher who takes children hostage, sparking a tense national crisis.
-
C.
Dyushambe
Dyushambe is the former name of Dushanbe, the capital and largest city of Tajikistan.
-
D.
Tandag
Tandag is a coastal city in the Philippines that serves as the capital of the province of Surigao del Sur in the Caraga region of Mindanao.
-
E.
Dara Petak
Dara Petak was a royal consort in the Javanese Majapahit court, known primarily as the mother of King Jayanegara.
- 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: Pekan Rabu Triple: [Alor Setar, hasLandmark, Pekan Rabu]
Generated description
Pekan Rabu is a historic and popular traditional market in Alor Setar, Kedah, known for its wide range of local handicrafts, foods, and Malay cultural products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pekan Rabu Target entity description: Pekan Rabu is a historic and popular traditional market in Alor Setar, Kedah, known for its wide range of local handicrafts, foods, and Malay cultural products.
-
A.
Çarşamba
Çarşamba is a town and district in Turkey’s Black Sea region, known for its agricultural economy and proximity to the provincial capital Samsun.
-
B.
A Thursday
A Thursday is a 2022 Indian thriller film centered on a schoolteacher who takes children hostage, sparking a tense national crisis.
-
C.
Dyushambe
Dyushambe is the former name of Dushanbe, the capital and largest city of Tajikistan.
-
D.
Tandag
Tandag is a coastal city in the Philippines that serves as the capital of the province of Surigao del Sur in the Caraga region of Mindanao.
-
E.
Dara Petak
Dara Petak was a royal consort in the Javanese Majapahit court, known primarily as the mother of King Jayanegara.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5096a4d3481908e9c319f6cdce4f1 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc8c73748190b97c78af6cf142d9 |
completed | April 10, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_69d8e8c81bdc8190b6b6dfe00025b514 |
completed | April 10, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d901e1ecf88190acd24a0e20462cb9 |
completed | April 10, 2026, 1:57 p.m. |
Created at: April 6, 2026, 12:23 p.m.