Triple
T4431890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Sumatra |
E95349
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Pagar Alam
Pagar Alam is a highland city in southern Sumatra, Indonesia, known for its cool climate, tea plantations, and scenic mountain landscapes near Mount Dempo.
|
E442451
|
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: Pagar Alam | Statement: [South Sumatra, hasMajorCity, Pagar Alam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pagar Alam Context triple: [South Sumatra, hasMajorCity, Pagar Alam]
-
A.
Padang Panjang
Padang Panjang is a small highland city in West Sumatra, Indonesia, known for its Minangkabau cultural heritage and cool mountainous climate.
-
B.
Payakumbuh
Payakumbuh is a city in West Sumatra, Indonesia, known as an important hub of Minangkabau culture, cuisine, and traditional arts.
-
C.
Binjai
Binjai is a city in Indonesia located near Medan on the island of Sumatra, known as a regional trade and transit hub.
-
D.
Solok
Solok is a city in the Indonesian province of West Sumatra known for its rice production and scenic highland landscapes.
-
E.
Lubuklinggau
Lubuklinggau is a significant urban center in western South Sumatra, Indonesia, known as a regional hub for trade and transportation.
- 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: Pagar Alam Triple: [South Sumatra, hasMajorCity, Pagar Alam]
Generated description
Pagar Alam is a highland city in southern Sumatra, Indonesia, known for its cool climate, tea plantations, and scenic mountain landscapes near Mount Dempo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pagar Alam Target entity description: Pagar Alam is a highland city in southern Sumatra, Indonesia, known for its cool climate, tea plantations, and scenic mountain landscapes near Mount Dempo.
-
A.
Padang Panjang
Padang Panjang is a small highland city in West Sumatra, Indonesia, known for its Minangkabau cultural heritage and cool mountainous climate.
-
B.
Payakumbuh
Payakumbuh is a city in West Sumatra, Indonesia, known as an important hub of Minangkabau culture, cuisine, and traditional arts.
-
C.
Binjai
Binjai is a city in Indonesia located near Medan on the island of Sumatra, known as a regional trade and transit hub.
-
D.
Solok
Solok is a city in the Indonesian province of West Sumatra known for its rice production and scenic highland landscapes.
-
E.
Lubuklinggau
Lubuklinggau is a significant urban center in western South Sumatra, Indonesia, known as a regional hub for trade and transportation.
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3556cd83881908547aa311c4f17fa |
completed | March 13, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b628002e208190a68c659abd348040 |
completed | March 15, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69b628ffed1c819097d048712e9aafef |
completed | March 15, 2026, 3:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b6298d1ff88190a58a6fc5992ef864 |
completed | March 15, 2026, 3:37 a.m. |
Created at: March 12, 2026, 11:31 p.m.