Triple
T26699639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sultanate of Ternate |
E673115
|
entity |
| Predicate | sharesRegionWith |
P23812
|
FINISHED |
| Object |
Sultanate of Bacan
The Sultanate of Bacan was a historic Islamic kingdom in the Maluku (Spice Islands) region of eastern Indonesia, known for its role in the clove trade and interactions with European colonial powers.
|
E1782966
|
NE FINISHED |
How this triple was built (2 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: Sultanate of Bacan | Statement: [Sultanate of Ternate, sharesRegionWith, Sultanate of Bacan]
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: Sultanate of Bacan Triple: [Sultanate of Ternate, sharesRegionWith, Sultanate of Bacan]
Generated description
The Sultanate of Bacan was a historic Islamic kingdom in the Maluku (Spice Islands) region of eastern Indonesia, known for its role in the clove trade and interactions with European colonial powers.
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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6177e2870819092bd441b95a21223 |
completed | May 2, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12da63226c81908e254a2d7dfad91f |
completed | May 24, 2026, 11 a.m. |
| NEDg | Description generation | batch_6a12dada20bc8190b5a215de41e4cee5 |
completed | May 24, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12db62f00481908ec3d6b4c6440060 |
completed | May 24, 2026, 11:05 a.m. |
Created at: April 27, 2026, 3:30 a.m.