Triple
T20263022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raichu |
E498890
|
entity |
| Predicate | baseDefense |
P98701
|
FINISHED |
| Object | 55 |
—
|
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: 55 | Statement: [Raichu, baseDefense, 55]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baseDefense Context triple: [Raichu, baseDefense, 55]
-
A.
hasBaseDefense
chosen
Indicates that an entity possesses a specified level or value of defensive capability in its default or starting state.
-
B.
defenderBase
Indicates that one entity serves as the primary defensive location or stronghold associated with another entity.
-
C.
providesDefence
Indicates that one entity offers protection or defensive support to another entity.
-
D.
shareDefenseStructure
Indicates that two or more entities utilize or are protected by the same defensive structure or system.
-
E.
builtToDefendAgainst
Indicates that something was constructed or designed specifically for the purpose of protecting against or countering a particular threat, entity, or type of attack.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674ccff008190920b418f51dc4311 |
completed | April 20, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69e55b1b23f88190bdcbe2f81dd226dd |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:41 p.m.