Triple
T36870510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4-sphere S^4 |
E911210
|
entity |
| Predicate | pi_3 |
P186610
|
FINISHED |
| Object | Z |
—
|
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: Z | Statement: [4-sphere S^4, pi_3, Z]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pi_3 Context triple: [4-sphere S^4, pi_3, Z]
-
A.
PI
Indicates a part-whole or component relationship, where one entity is an integral part of another.
-
B.
γ_3
Indicates a tertiary or context-specific relationship between entities labeled under the symbol γ, typically representing the third distinct interaction or role in a γ-defined family of relations.
-
C.
thirdElement
Indicates that one entity is the third element in an ordered sequence or tuple associated with another entity.
-
D.
thirdSingle
Indicates that an entity is the third single (e.g., third single release) associated with another entity, typically in a sequence such as from an album or artist.
-
E.
thirdWord
Indicates that one entity is the third word in sequence within another entity (such as a text or phrase).
- 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_69f76e80f6f0819091cba8e19b269615 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fe1a1ca4819084c196f0041f0be2 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69f9fd66eed48190bdc26a8def328c2d |
completed | May 5, 2026, 2:23 p.m. |
Created at: May 3, 2026, 4:13 p.m.