Triple
T37664210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ocean Temple |
E937784
|
entity |
| Predicate | hasDefenseMechanic |
P134343
|
FINISHED |
| Object | laser attacks from Guardians |
—
|
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: laser attacks from Guardians | Statement: [Ocean Temple, hasDefenseMechanic, laser attacks from Guardians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDefenseMechanic Context triple: [Ocean Temple, hasDefenseMechanic, laser attacks from Guardians]
-
A.
hasBaseDefense
Indicates that an entity possesses a specified level or value of defensive capability in its default or starting state.
-
B.
hasArmorPlating
Indicates that one entity is equipped with or covered by protective armor plating in relation to another entity or context.
-
C.
hasMechanicalFeature
chosen
Indicates that one entity possesses, includes, or is characterized by a specific mechanical component, attribute, or functionality.
-
D.
hasDefenseStrategy
Indicates that an entity employs or is associated with a particular plan or set of measures designed to protect against threats or attacks.
-
E.
hasMechanism
Indicates that one entity operates, functions, or produces an effect through the specified mechanism or process.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffb5c373948190a6606e8caa87a384 |
completed | May 9, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69ffb261da788190b41399df8ed895e8 |
completed | May 9, 2026, 10:17 p.m. |
Created at: May 3, 2026, 4:18 p.m.