Triple
T24969289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMNZS Te Mana (F111) |
E624834
|
entity |
| Predicate | modernizationLocation |
P159054
|
FINISHED |
| Object | Canada |
—
|
NE NERFINISHED |
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: Canada | Statement: [HMNZS Te Mana (F111), modernizationLocation, Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernizationLocation Context triple: [HMNZS Te Mana (F111), modernizationLocation, Canada]
-
A.
modernizationArea
Indicates the domain or aspect in which a modernization effort or update is being applied.
-
B.
modernizationType
Indicates the specific kind or category of modernization applied to an entity or system.
-
C.
modernization
Indicates a process by which something is updated, reformed, or transformed to align with contemporary standards, technologies, or practices.
-
D.
modernizationPriority
Indicates the relative importance or urgency assigned to updating, improving, or replacing something with more modern methods, technologies, or standards.
-
E.
modernizationFeatures
Indicates that something includes characteristics, elements, or improvements associated with making it more modern or up to date.
- 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_69e2ff24512481908e9a72315b8d0354 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 18, 2026, 6 a.m.