Triple
T7574531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palapa B2 |
E179327
|
entity |
| Predicate | program |
P804
|
FINISHED |
| Object |
Palapa B series
The Palapa B series was a generation of Indonesian communications satellites used to expand the country’s domestic and regional telecommunications network in the 1980s and 1990s.
|
E673865
|
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: Palapa B series | Statement: [Palapa B2, program, Palapa B series]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palapa B series Context triple: [Palapa B2, program, Palapa B series]
-
A.
Opañel
Opañel is a Madrid Metro station serving the Carabanchel district in Spain.
-
B.
Papasha
Papasha is the affectionate Russian nickname for the PPSh-41, a widely used Soviet submachine gun from World War II.
-
C.
Palmwag
Palmwag is a remote lodge and conservation area in northwestern Namibia known for its desert-adapted wildlife and scenic, arid landscapes.
-
D.
Mikro Papingo
Mikro Papingo is a small traditional mountain village in the Zagori region of Epirus, northwestern Greece, known for its stone architecture and proximity to the Vikos Gorge.
-
E.
Honancho
Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
- 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: Palapa B series Triple: [Palapa B2, program, Palapa B series]
Generated description
The Palapa B series was a generation of Indonesian communications satellites used to expand the country’s domestic and regional telecommunications network in the 1980s and 1990s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Palapa B series Target entity description: The Palapa B series was a generation of Indonesian communications satellites used to expand the country’s domestic and regional telecommunications network in the 1980s and 1990s.
-
A.
Opañel
Opañel is a Madrid Metro station serving the Carabanchel district in Spain.
-
B.
Papasha
Papasha is the affectionate Russian nickname for the PPSh-41, a widely used Soviet submachine gun from World War II.
-
C.
Palmwag
Palmwag is a remote lodge and conservation area in northwestern Namibia known for its desert-adapted wildlife and scenic, arid landscapes.
-
D.
Mikro Papingo
Mikro Papingo is a small traditional mountain village in the Zagori region of Epirus, northwestern Greece, known for its stone architecture and proximity to the Vikos Gorge.
-
E.
Honancho
Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
- 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f948e1e08190ad807292365a0c27 |
completed | March 27, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856ea9a2c8190a81762ac509c4c97 |
completed | March 28, 2026, 10:32 p.m. |
| NEDg | Description generation | batch_69c8587b461c819081b63e71b533547a |
completed | March 28, 2026, 10:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c858fd9d4081909bb2072fcc3e3836 |
completed | March 28, 2026, 10:41 p.m. |
Created at: March 27, 2026, 3:51 p.m.