Triple
T20190212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metroid (organism) |
E492961
|
entity |
| Predicate | typicalWeakness |
P47330
|
FINISHED |
| Object | cold |
—
|
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: cold | Statement: [Metroid (organism), typicalWeakness, cold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalWeakness Context triple: [Metroid (organism), typicalWeakness, cold]
-
A.
hasWeakness
chosen
Indicates that one entity is vulnerable to, or can be adversely affected or defeated by, another entity.
-
B.
playstyleWeakness
Indicates a relationship where one playstyle is particularly vulnerable or disadvantaged when facing another playstyle.
-
C.
methodOfDefeat
Indicates the specific way or technique by which one entity defeats or overcomes another.
-
D.
effectivenessAgainst
Indicates how well one entity performs in countering, influencing, or mitigating the impact of another entity.
-
E.
weakenedDuring
Indicates that an entity’s strength, intensity, or effectiveness is reduced over the course of a specified time period or event.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad4d7a88190b70dfb74a2daafba |
completed | April 20, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e55b11124c8190babacf2a0fe2d057 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:37 p.m.