Triple
T9650219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Kalimantan |
E233311
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Ketapang
Ketapang is a coastal town and regency capital in West Kalimantan, Indonesia, known for its role as a regional economic and transportation hub.
|
E819237
|
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: Ketapang | Statement: [West Kalimantan, hasCity, Ketapang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ketapang Context triple: [West Kalimantan, hasCity, Ketapang]
-
A.
Ketapang
Ketapang is a key ferry port town in East Java, Indonesia, serving as a primary gateway for sea crossings between Java and Bali.
-
B.
Padang Besar
Padang Besar is a border town in northern Malaysia known as a key land gateway and trading hub between Malaysia and Thailand.
-
C.
Singkawang
Singkawang is a city in West Kalimantan, Indonesia, known for its large Chinese Indonesian community and vibrant Chinese cultural festivals, especially its Cap Go Meh celebrations.
-
D.
Keningau
Keningau is a major inland town and administrative district in the interior region of the Malaysian state of Sabah.
-
E.
Tenggarong
Tenggarong is a town in East Kalimantan, Indonesia, that serves as the capital of Kutai Kartanegara Regency and a cultural center of the historic Kutai region.
- 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: Ketapang Triple: [West Kalimantan, hasCity, Ketapang]
Generated description
Ketapang is a coastal town and regency capital in West Kalimantan, Indonesia, known for its role as a regional economic and transportation hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ketapang Target entity description: Ketapang is a coastal town and regency capital in West Kalimantan, Indonesia, known for its role as a regional economic and transportation hub.
-
A.
Ketapang
Ketapang is a key ferry port town in East Java, Indonesia, serving as a primary gateway for sea crossings between Java and Bali.
-
B.
Padang Besar
Padang Besar is a border town in northern Malaysia known as a key land gateway and trading hub between Malaysia and Thailand.
-
C.
Singkawang
Singkawang is a city in West Kalimantan, Indonesia, known for its large Chinese Indonesian community and vibrant Chinese cultural festivals, especially its Cap Go Meh celebrations.
-
D.
Keningau
Keningau is a major inland town and administrative district in the interior region of the Malaysian state of Sabah.
-
E.
Tenggarong
Tenggarong is a town in East Kalimantan, Indonesia, that serves as the capital of Kutai Kartanegara Regency and a cultural center of the historic Kutai region.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9badd630819087fd844d7878ec61 |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcb3a1ec819099c8a222c01c9d65 |
completed | April 5, 2026, 1:36 a.m. |
| NEDg | Description generation | batch_69d1bd9dcb8c8190b8bdf4669a421fc6 |
completed | April 5, 2026, 1:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1bdfe40f4819096b1d0442f4ee181 |
completed | April 5, 2026, 1:42 a.m. |
Created at: March 30, 2026, 8:13 p.m.