Triple
T19974725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Squirtle |
E493660
|
entity |
| Predicate | hasBaseStatTotal |
P3976
|
FINISHED |
| Object | 314 |
—
|
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: 314 | Statement: [Squirtle, hasBaseStatTotal, 314]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBaseStatTotal Context triple: [Squirtle, hasBaseStatTotal, 314]
-
A.
hasBaseDefense
Indicates that an entity possesses a specified level or value of defensive capability in its default or starting state.
-
B.
totalStrength
Indicates the overall magnitude or combined level of strength associated with an entity or group of entities.
-
C.
hasStatistics
chosen
Indicates that an entity is associated with one or more statistical measures, records, or summaries describing its quantitative properties or performance.
-
D.
hasBaseCount
Indicates the number of base units or fundamental components associated with an entity.
-
E.
hasTotalNumber
Indicates that an entity is associated with a specific overall count or sum of items, elements, or units.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65bcca5088190b523584d11799400 |
completed | April 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69e537fae79c81909eae39500766d0b6 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:24 p.m.