Triple
T36468479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T1 separation axiom |
E898480
|
entity |
| Predicate | interactionWithCompactness |
P197539
|
FINISHED |
| Object | In a T1 space, compact subsets are closed |
—
|
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: In a T1 space, compact subsets are closed | Statement: [T1 separation axiom, interactionWithCompactness, In a T1 space, compact subsets are closed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interactionWithCompactness Context triple: [T1 separation axiom, interactionWithCompactness, In a T1 space, compact subsets are closed]
-
A.
typicalInteraction
Indicates the usual or most common way in which two entities interact or relate to each other.
-
B.
interactionWithHumans
Indicates a relationship where an entity engages in some form of contact, communication, or mutual influence with humans.
-
C.
interactionWithLiving
Indicates a relationship in which an entity engages in some form of contact, communication, or mutual influence with a living being.
-
D.
interactionBetween
Indicates a reciprocal or mutual action, influence, or communication occurring between two or more entities.
-
E.
interactionWithReality
Indicates a relationship in which an entity engages with, responds to, or is affected by actual conditions or events in the real world.
- 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_69f76e58ebd88190b75d9b169b59d793 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe991bca608190b524e419642f4243 |
completed | May 9, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69fe979fc1c4819091fc48d63ea12063 |
completed | May 9, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69fe991abc6c81908edbb98d61c9ca73 |
completed | May 9, 2026, 2:16 a.m. |
Created at: May 3, 2026, 4:10 p.m.