Triple
T125387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas Reports |
E2535
|
entity |
| Predicate | volumeRange |
P4679
|
FINISHED |
| Object | 1 U.S. to 4 U.S. |
—
|
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: 1 U.S. to 4 U.S. | Statement: [Dallas Reports, volumeRange, 1 U.S. to 4 U.S.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: volumeRange Context triple: [Dallas Reports, volumeRange, 1 U.S. to 4 U.S.]
-
A.
volume
Indicates the amount of three-dimensional space an entity occupies or contains.
-
B.
hostRange
Indicates the range or set of different hosts that an organism, agent, or system can successfully inhabit, infect, or interact with.
-
C.
range
chosen
Indicates that a value, property, or effect extends between specified limits or over a specified interval or scope.
-
D.
portRange
Indicates the range of network ports over which a connection, service, or rule applies.
-
E.
numberOfVolumes
Indicates the total count of separate volumes or parts that make up a multi-volume work or collection.
- 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_69a251b54ea88190b18281669f59b4c0 |
completed | Feb. 28, 2026, 2:23 a.m. |
| NER | Named-entity recognition | batch_69a2573e4e6481908252dfef2e34f46e |
completed | Feb. 28, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69a2564a54948190ba30bee858173b27 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:27 a.m.