Triple
T37212476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NGC 6207 |
E922643
|
entity |
| Predicate | otherDesignation |
P48076
|
FINISHED |
| Object |
IRAS 16412+3655
IRAS 16412+3655 is an infrared source designation corresponding to the spiral galaxy NGC 6207 in the constellation Hercules.
|
E2217450
|
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: IRAS 16412+3655 | Statement: [NGC 6207, otherDesignation, IRAS 16412+3655]
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: IRAS 16412+3655 Triple: [NGC 6207, otherDesignation, IRAS 16412+3655]
Generated description
IRAS 16412+3655 is an infrared source designation corresponding to the spiral galaxy NGC 6207 in the constellation Hercules.
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_69f76ea6f5288190b8d9988f613811c0 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb3673470c8190b97a38863a641fe6 |
completed | May 6, 2026, 12:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40362509988190b3c6f373ad0129cd |
completed | June 27, 2026, 8:44 p.m. |
| NEDg | Description generation | batch_6a40370e29b88190896e161008cb4262 |
completed | June 27, 2026, 8:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a4038978d88819094f50792d0db95ee |
completed | June 27, 2026, 8:54 p.m. |
Created at: May 3, 2026, 4:15 p.m.