Triple
T28023497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FAT |
E707749
|
entity |
| Predicate | allocationTableLocation |
P105414
|
FINISHED |
| Object | reserved area at beginning of volume |
—
|
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: reserved area at beginning of volume | Statement: [FAT, allocationTableLocation, reserved area at beginning of volume]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allocationTableLocation Context triple: [FAT, allocationTableLocation, reserved area at beginning of volume]
-
A.
partitionTableLocation
chosen
Indicates the storage location or path where a specific table partition is physically stored or managed.
-
B.
assignedLocation
Indicates that a specific location has been designated or allocated to an entity as its place for presence, use, or operation.
-
C.
slotLocation
Indicates the specific position or compartment within a larger container or system where an item is placed or assigned.
-
D.
branchLocation
Indicates the physical or geographical location where a particular branch of an organization or structure is situated.
-
E.
deploymentLocation
Indicates the place or environment where something (such as a system, resource, or component) is deployed or put into operational use.
- F. None of above.
Provenance (3 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_69ef96baf3a881909a2b63844185dddd |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 8:11 p.m.