Triple
T38593937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MEKA |
E932517
|
entity |
| Predicate | hasDefenseFocus |
P59761
|
FINISHED |
| Object | coastal defense |
—
|
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: coastal defense | Statement: [MEKA, hasDefenseFocus, coastal defense]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDefenseFocus Context triple: [MEKA, hasDefenseFocus, coastal defense]
-
A.
hasDefenseStrategy
chosen
Indicates that an entity employs or is associated with a particular plan or set of measures designed to protect against threats or attacks.
-
B.
hasDefensiveForce
Indicates that one entity possesses or maintains a defensive capability, protection, or force directed toward or associated with another entity.
-
C.
hasBaseDefense
Indicates that an entity possesses a specified level or value of defensive capability in its default or starting state.
-
D.
hasDefenceRole
Indicates that an entity serves a protective or defensive function for another entity or within a given context.
-
E.
defensiveCapability
Indicates the ability or capacity of an entity to protect itself or others against threats, attacks, or harm.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffe613c03481909f3043ec8bf0bed9 |
completed | May 10, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69ffe4a73fb4819091600725a443981a |
completed | May 10, 2026, 1:51 a.m. |
Created at: May 3, 2026, 4:32 p.m.