Triple
T38505746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tumuc-Humac Mountains |
E921757
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Tumucumaque Mountains
Tumucumaque Mountains is a remote mountain range in the Guiana Shield of northern South America, known for its dense rainforest, rich biodiversity, and largely unexplored terrain along the Brazil–French Guiana–Suriname borders.
|
E2273715
|
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: Tumucumaque Mountains | Statement: [Tumuc-Humac Mountains, hasAlternativeName, Tumucumaque Mountains]
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: Tumucumaque Mountains Triple: [Tumuc-Humac Mountains, hasAlternativeName, Tumucumaque Mountains]
Generated description
Tumucumaque Mountains is a remote mountain range in the Guiana Shield of northern South America, known for its dense rainforest, rich biodiversity, and largely unexplored terrain along the Brazil–French Guiana–Suriname borders.
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_69f76ea3c5448190aa7002fc1ba3f874 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd266f7d48190af5f745c90c75952 |
completed | May 7, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41d65b1de48190b25d60f7d053796a |
completed | June 29, 2026, 2:20 a.m. |
| NEDg | Description generation | batch_6a41d9e3540c8190add45c48a8977a1f |
completed | June 29, 2026, 2:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41da4ab17c8190ab53f002ddb814aa |
completed | June 29, 2026, 2:36 a.m. |
Created at: May 3, 2026, 4:32 p.m.