Triple
T1352887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Australian Navy |
E28920
|
entity |
| Predicate | militarySize |
P27927
|
FINISHED |
| Object | tens of thousands of personnel |
—
|
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: tens of thousands of personnel | Statement: [Royal Australian Navy, militarySize, tens of thousands of personnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militarySize Context triple: [Royal Australian Navy, militarySize, tens of thousands of personnel]
-
A.
restrictedArmySizeOf
Indicates that one entity imposes a limitation or cap on the allowable size of another entity’s army.
-
B.
militaryMeasure
Indicates a relationship where an entity undertakes, imposes, or is subject to a specific military-related action, policy, or operational measure.
-
C.
militaryEquivalence
Indicates that two or more entities possess comparable military capabilities, strength, or strategic power such that neither holds a clear military advantage over the other.
-
D.
garrisonSize
Indicates the number of troops or defenders stationed at a particular location as its garrison.
-
E.
typeOfTroops
Indicates the specific category or kind of military forces involved in or associated with an entity or event.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c26d0c4481908fddda89242a57b3 |
completed | March 1, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69a4bef7700c819099b294e8d9320e70 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c20fd1fc8190977a768b1ed2d23b |
completed | March 1, 2026, 10:47 p.m. |
Created at: March 1, 2026, 7:56 p.m.