Triple
T38644850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medic |
E938688
|
entity |
| Predicate | energyMax |
P118392
|
FINISHED |
| Object | 200 |
—
|
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: 200 | Statement: [Medic, energyMax, 200]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energyMax Context triple: [Medic, energyMax, 200]
-
A.
maximumEnergy
chosen
Indicates the greatest amount of energy that an entity can possess, store, or output under specified conditions.
-
B.
energyLevel
Indicates the amount or intensity of energy possessed, produced, or exhibited by an entity in a given state or context.
-
C.
energyLevelModel
Indicates a relationship where an entity’s energy level is represented, quantified, or characterized according to a specific model or modeling framework.
-
D.
energyBase
Indicates that one entity serves as the fundamental source or basis of energy for another entity or process.
-
E.
energyExchangeAbility
Indicates the capacity of one entity to transfer, share, or convert energy with another entity within a given context.
- 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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:32 p.m.