Triple
T25534992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fire Max 11 |
E640018
|
entity |
| Predicate | ppi |
P158633
|
FINISHED |
| Object | 213 ppi |
—
|
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: 213 ppi | Statement: [Fire Max 11, ppi, 213 ppi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ppi Context triple: [Fire Max 11, ppi, 213 ppi]
-
A.
PI
Indicates a part-whole or component relationship, where one entity is an integral part of another.
-
B.
pins
Indicates that one entity fastens, secures, or immobilizes another entity in place, typically using a pin-like object or mechanism.
-
C.
hasPP
Indicates that an entity is associated with a particular prepositional phrase (PP) that modifies or relates to it in a syntactic or semantic structure.
-
D.
PSE
Indicates a relationship where one entity is engaged in or associated with a public service or public sector employment role relative to another entity or context.
-
E.
PPAType
Indicates a specific type or category of a PPA (Power Purchase Agreement) relationship between parties.
- F. None of above. chosen
Provenance (4 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_69e75dbfff7081909b0aa779d48321d2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f866376081909ab76a8aa5c3fea7 |
completed | May 2, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 3:22 p.m.