Triple
T38566712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oyapock River Bridge |
E928240
|
entity |
| Predicate | partOfRoadNetwork |
P36772
|
FINISHED |
| Object |
Brazilian federal highway BR-156
Brazilian federal highway BR-156 is a major road in the far north of Brazil that connects Macapá to the French Guiana border, serving as a key route through the state of Amapá.
|
E2277201
|
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: Brazilian federal highway BR-156 | Statement: [Oyapock River Bridge, partOfRoadNetwork, Brazilian federal highway BR-156]
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: Brazilian federal highway BR-156 Triple: [Oyapock River Bridge, partOfRoadNetwork, Brazilian federal highway BR-156]
Generated description
Brazilian federal highway BR-156 is a major road in the far north of Brazil that connects Macapá to the French Guiana border, serving as a key route through the state of Amapá.
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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcd90b04b0819094913c584479f107 |
completed | May 7, 2026, 6:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41ea8ecae88190aeb23a861f3087ab |
completed | June 29, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_6a41ee8af66c8190bb634c9b05a5f6ca |
completed | June 29, 2026, 4:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41eede3770819090340bca25802273 |
completed | June 29, 2026, 4:04 a.m. |
Created at: May 3, 2026, 4:32 p.m.