Triple
T9169590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ship Security Officer |
E220048
|
entity |
| Predicate | mustHold |
P34434
|
FINISHED |
| Object | appropriate security training certificate |
—
|
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: appropriate security training certificate | Statement: [Ship Security Officer, mustHold, appropriate security training certificate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mustHold Context triple: [Ship Security Officer, mustHold, appropriate security training certificate]
-
A.
mustGrant
Indicates that one party is obligated to give or allow something (such as a right, permission, or resource) to another party.
-
B.
mustMeet
Indicates that one entity is required or obligated to have a meeting or encounter with another entity.
-
C.
holderMustBe
chosen
Indicates that a specified entity is required to be the holder or possessor of another entity or resource.
-
D.
mayHold
Indicates that one entity is permitted or allowed to possess, contain, or maintain another entity.
-
E.
mustRetain
Indicates that an entity is required to keep or preserve another entity and is not allowed to discard, delete, or release it.
- 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaae0f3148190b111b22902cdb86c |
completed | April 1, 2026, 5:19 a.m. |
| PD | Predicate disambiguation | batch_69cc660761d88190ab6134b43b376964 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:22 p.m.