Triple
T438346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1 train |
E10059
|
entity |
| Predicate | serviceLetterOrNumber |
P3497
|
FINISHED |
| Object | 1 |
—
|
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 | Statement: [1 train, serviceLetterOrNumber, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceLetterOrNumber Context triple: [1 train, serviceLetterOrNumber, 1]
-
A.
serviceNumber
Indicates a unique identifying number assigned to a service, used to reference, track, or distinguish that service from others.
-
B.
usesLetteredServices
chosen
Indicates that an entity makes use of services that are identified or categorized by letter-based designations.
-
C.
serviceBranch
Indicates the military or organizational branch in which an entity serves or is affiliated.
-
D.
officeNumber
Indicates the specific room or suite number assigned to an office within a building or complex.
-
E.
associatedNumber
Indicates a relationship where a specific number is linked or assigned to an entity as its associated value.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef283be881909444aaf257451747 |
completed | Feb. 28, 2026, 1:35 p.m. |
| PD | Predicate disambiguation | batch_69a2eddb98e081909efcf9f0a955a908 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.