Triple
T9130984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wakanda |
E219083
|
entity |
| Predicate | shieldingTechnology |
P50151
|
FINISHED |
| Object | cloaking fields hiding cities |
—
|
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: cloaking fields hiding cities | Statement: [Wakanda, shieldingTechnology, cloaking fields hiding cities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shieldingTechnology Context triple: [Wakanda, shieldingTechnology, cloaking fields hiding cities]
-
A.
shieldType
chosen
Indicates the specific kind or category of shield associated with an entity or interaction.
-
B.
featuresShield
Indicates that an entity includes or is equipped with a shield as one of its characteristics or components.
-
C.
providesProtectionIn
Indicates that one entity offers protection or safeguarding to another entity within a specified context, location, or situation.
-
D.
coreProtection
Indicates that an entity provides essential safeguarding or defense for another entity’s central or most critical component.
-
E.
shieldColor
Indicates the color attribute assigned to a shield in the relationship.
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8ceea6c81909f368f12dac1649c |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc6601d77881908299d58db6e64937 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:18 p.m.