Triple
T1486445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flores |
E29474
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Bajawa
Bajawa is a small highland town in central Flores, Indonesia, known for its cool climate, traditional Ngada culture, and nearby volcanic and megalithic sites.
|
E182175
|
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: Bajawa | Statement: [Flores, hasCity, Bajawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bajawa Context triple: [Flores, hasCity, Bajawa]
-
A.
Labuan Bajo
Labuan Bajo is a coastal town on the Indonesian island of Flores that serves as the main gateway for tourists visiting Komodo National Park and its famous Komodo dragons.
-
B.
Bukittinggi
Bukittinggi is a historic highland city in West Sumatra, Indonesia, renowned as a major hub of Minangkabau culture, history, and tourism.
-
C.
Mataram
Mataram was the principal urban and political center of the early Javanese Medang Kingdom, serving as a key hub of power and culture in central Java.
-
D.
Mataram
Mataram is the capital and largest city of the Indonesian province of West Nusa Tenggara, located on the island of Lombok.
-
E.
Payakumbuh
Payakumbuh is a city in West Sumatra, Indonesia, known as an important hub of Minangkabau culture, cuisine, and traditional arts.
- 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: Bajawa Triple: [Flores, hasCity, Bajawa]
Generated description
Bajawa is a small highland town in central Flores, Indonesia, known for its cool climate, traditional Ngada culture, and nearby volcanic and megalithic sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bajawa Target entity description: Bajawa is a small highland town in central Flores, Indonesia, known for its cool climate, traditional Ngada culture, and nearby volcanic and megalithic sites.
-
A.
Labuan Bajo
Labuan Bajo is a coastal town on the Indonesian island of Flores that serves as the main gateway for tourists visiting Komodo National Park and its famous Komodo dragons.
-
B.
Bukittinggi
Bukittinggi is a historic highland city in West Sumatra, Indonesia, renowned as a major hub of Minangkabau culture, history, and tourism.
-
C.
Mataram
Mataram was the principal urban and political center of the early Javanese Medang Kingdom, serving as a key hub of power and culture in central Java.
-
D.
Mataram
Mataram is the capital and largest city of the Indonesian province of West Nusa Tenggara, located on the island of Lombok.
-
E.
Payakumbuh
Payakumbuh is a city in West Sumatra, Indonesia, known as an important hub of Minangkabau culture, cuisine, and traditional arts.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6a3325881909bbc55efc04ad60f |
completed | March 1, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51a514908190b782eb1ca98d5b4c |
completed | March 8, 2026, 10:38 a.m. |
| NEDg | Description generation | batch_69ad525e5c908190bad4fc58342c3ef2 |
completed | March 8, 2026, 10:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad52bfdbec81908f7240c46ce11888 |
completed | March 8, 2026, 10:43 a.m. |
Created at: March 1, 2026, 8:12 p.m.