Triple
T9313134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | F-root |
E224051
|
entity |
| Predicate | hasMultiplePhysicalInstances |
P88031
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [F-root, hasMultiplePhysicalInstances, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMultiplePhysicalInstances Context triple: [F-root, hasMultiplePhysicalInstances, true]
-
A.
hasMultiple
Indicates that an entity is associated with more than one instance or occurrence of another related entity.
-
B.
numberOfInstances
Indicates the quantity or count of distinct occurrences or instances associated with a given entity or context.
-
C.
hasNumberOfLogicalServers
Indicates the quantity of logical servers associated with or contained within a given entity.
-
D.
hasPhysicalInterface
Indicates that one entity provides or includes a tangible, hardware-based connection point or medium through which another entity can physically interact or communicate.
-
E.
hasMultipleCreations
Indicates that an entity is associated with more than one distinct creation or produced work.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd20b048a081909fd7ec0b6b863063 |
completed | April 1, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69cc7a61e9a4819096eb014f3791ef2e |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc955a38108190b602d1e73725f11b |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:37 p.m.