Triple
T16350451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palembang LRT |
E397047
|
entity |
| Predicate | connectsDistrict |
P2564
|
FINISHED |
| Object |
Alang-Alang Lebar
Alang-Alang Lebar is a district in Palembang, Indonesia, known as one of the urban areas served by the city's light rail transit system.
|
E1209148
|
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: Alang-Alang Lebar | Statement: [Palembang LRT, connectsDistrict, Alang-Alang Lebar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alang-Alang Lebar Context triple: [Palembang LRT, connectsDistrict, Alang-Alang Lebar]
-
A.
Alangalang
Alangalang is a municipality in the province of Leyte in the Eastern Visayas region of the Philippines, known primarily as an agricultural town.
-
B.
Youlang
Youlang was the personal name of the Yongli Emperor, the last emperor of the Southern Ming dynasty who resisted the Qing conquest in 17th-century China.
-
C.
Ngaju
Ngaju is an Austronesian language spoken primarily by the Ngaju Dayak people in Central Kalimantan on the island of Borneo in Indonesia.
-
D.
Pambo
Pambo was an early Christian Desert Father and ascetic monk associated with the monastic community of Scetis in Egypt.
-
E.
Yakoma
Yakoma is a Bantu language spoken by the Yakoma people primarily in the Central African Republic.
- 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: Alang-Alang Lebar Triple: [Palembang LRT, connectsDistrict, Alang-Alang Lebar]
Generated description
Alang-Alang Lebar is a district in Palembang, Indonesia, known as one of the urban areas served by the city's light rail transit system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alang-Alang Lebar Target entity description: Alang-Alang Lebar is a district in Palembang, Indonesia, known as one of the urban areas served by the city's light rail transit system.
-
A.
Alangalang
Alangalang is a municipality in the province of Leyte in the Eastern Visayas region of the Philippines, known primarily as an agricultural town.
-
B.
Youlang
Youlang was the personal name of the Yongli Emperor, the last emperor of the Southern Ming dynasty who resisted the Qing conquest in 17th-century China.
-
C.
Ngaju
Ngaju is an Austronesian language spoken primarily by the Ngaju Dayak people in Central Kalimantan on the island of Borneo in Indonesia.
-
D.
Pambo
Pambo was an early Christian Desert Father and ascetic monk associated with the monastic community of Scetis in Egypt.
-
E.
Yakoma
Yakoma is a Bantu language spoken by the Yakoma people primarily in the Central African Republic.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2facb37d0819093fe45446f1e79c1 |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002db40e0481908d919f2285e48a23 |
completed | May 10, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_6a003082f0008190aeae2fbbfc3a8acf |
completed | May 10, 2026, 7:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00312a4fc48190b6bd6ad9db71bb4d |
completed | May 10, 2026, 7:18 a.m. |
Created at: April 10, 2026, 5:07 a.m.