Triple
T965881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army |
E20835
|
entity |
| Predicate | usesDomain |
P1248
|
FINISHED |
| Object | land |
—
|
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: land | Statement: [Army, usesDomain, land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesDomain Context triple: [Army, usesDomain, land]
-
A.
usedInDomain
chosen
Indicates that something (such as a concept, method, or resource) is applied or utilized within a particular domain or field.
-
B.
inputDomain
Indicates that a function, process, or system accepts inputs belonging to a specified domain or set of allowable values.
-
C.
recognizedAsDomain
Indicates that one entity is acknowledged or accepted as a valid or authoritative domain associated with another entity.
-
D.
hasLegalDomain
Indicates that a legal rule, right, obligation, or concept applies within a specific jurisdiction, legal system, or domain of law.
-
E.
sharesDomainWith
Indicates that two entities operate within, belong to, or are associated with the same domain or domain-like scope.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b431d61481908b53490e99670363 |
completed | March 1, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a42c1481908d940cbe0aefdd3b |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.