Triple
T25320052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Culler–Vogtmann Outer space |
E634851
|
entity |
| Predicate | markingDefinition |
P158384
|
FINISHED |
| Object | homotopy equivalence from a fixed reference rose to the graph |
—
|
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: homotopy equivalence from a fixed reference rose to the graph | Statement: [Culler–Vogtmann Outer space, markingDefinition, homotopy equivalence from a fixed reference rose to the graph]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: markingDefinition Context triple: [Culler–Vogtmann Outer space, markingDefinition, homotopy equivalence from a fixed reference rose to the graph]
-
A.
markingFeature
Indicates a feature that serves as a distinguishing mark or identifier associated with an entity.
-
B.
distinctiveMarking
Indicates that one entity bears a unique or distinguishing visual feature or pattern that sets it apart from others.
-
C.
markType
Indicates the specific category or kind of mark associated with or applied to an entity.
-
D.
marksOn
Indicates that one entity bears visible signs, traces, or imprints that have been made or left by another entity.
-
E.
marque
Indicates that one entity is the brand or make associated with another entity, such as a product, vehicle, or manufactured item.
- 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_69e75a9847c08190bb02990d06d5ffb7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f4968d6e848190bcb8668b6dc3f183 |
completed | May 1, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f45d06d0388190b36ecde92013624a |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f465699c9c8190ac7b4b32b782550c |
completed | May 1, 2026, 8:33 a.m. |
Created at: April 21, 2026, 1:28 p.m.