Triple
T22933271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boengkoe |
E569503
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Bungku
Bungku is a town and the administrative center of Morowali Regency in Central Sulawesi, Indonesia.
|
E1562364
|
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: Bungku | Statement: [Boengkoe, hasAlternativeName, Bungku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bungku Context triple: [Boengkoe, hasAlternativeName, Bungku]
-
A.
Banmauk
Banmauk is a town in northern Myanmar known for its rural setting and role as a local center of trade and administration.
-
B.
Balungao
Balungao is a landlocked agricultural municipality in the province of Pangasinan in the Philippines, known for its hilly terrain and hot and cold springs.
-
C.
Tumpat
Tumpat is a coastal town and district in northeastern Kelantan, Malaysia, known for its fishing communities and role as a transport hub near the Thai border.
-
D.
Buruanga
Buruanga is a coastal municipality in the province of Aklan in the Philippines, known for its scenic beaches and proximity to the tourist island of Boracay.
-
E.
Bantumi
Bantumi is a digital version of the traditional Mancala-style board game that was popularized on early Nokia mobile phones.
- 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: Bungku Triple: [Boengkoe, hasAlternativeName, Bungku]
Generated description
Bungku is a town and the administrative center of Morowali Regency in Central Sulawesi, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bungku Target entity description: Bungku is a town and the administrative center of Morowali Regency in Central Sulawesi, Indonesia.
-
A.
Banmauk
Banmauk is a town in northern Myanmar known for its rural setting and role as a local center of trade and administration.
-
B.
Balungao
Balungao is a landlocked agricultural municipality in the province of Pangasinan in the Philippines, known for its hilly terrain and hot and cold springs.
-
C.
Tumpat
Tumpat is a coastal town and district in northeastern Kelantan, Malaysia, known for its fishing communities and role as a transport hub near the Thai border.
-
D.
Buruanga
Buruanga is a coastal municipality in the province of Aklan in the Philippines, known for its scenic beaches and proximity to the tourist island of Boracay.
-
E.
Bantumi
Bantumi is a digital version of the traditional Mancala-style board game that was popularized on early Nokia mobile phones.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181337ff881909d90cf3f5bae7516 |
completed | April 29, 2026, 3:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc24ea8bc8190bb7cb6e9475d6641 |
completed | May 19, 2026, 1:52 a.m. |
| NEDg | Description generation | batch_6a0bc3dea31c8190ab517e43c9061eec |
completed | May 19, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bc46fd3d0819094a532a8d6a0b9b2 |
completed | May 19, 2026, 2:01 a.m. |
Created at: April 17, 2026, 3:44 p.m.