Triple
T7272903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tau Ceti f |
E161147
|
entity |
| Predicate | catalogCategory |
P76148
|
FINISHED |
| Object | nearby exoplanet candidate |
—
|
LITERAL 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: nearby exoplanet candidate | Statement: [Tau Ceti f, catalogCategory, nearby exoplanet candidate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catalogCategory Context triple: [Tau Ceti f, catalogCategory, nearby exoplanet candidate]
-
A.
menuCategory
Indicates the classification relationship that assigns an item to a specific section or category within a menu.
-
B.
catalog
Indicates the action of systematically listing, organizing, or recording items or information into a structured collection or database.
-
C.
canonicalCategory
Indicates that an entity is assigned to its primary or standard category within a classification system.
-
D.
category
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
E.
categoryStructure
Indicates the hierarchical or organizational relationship that defines how categories are structured and arranged relative to one another.
- F. None of above. chosen
Provenance (4 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_69c6885181008190b419040e22939c7c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb8a0b4881908ff27c5a75bd4a95 |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76a84a081908d4184c55b728e48 |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6eb88a2648190acc79eeee8733705 |
completed | March 27, 2026, 8:41 p.m. |
Created at: March 27, 2026, 2:58 p.m.