Triple
T20544111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Load and Resistance Factor Design |
E504419
|
entity |
| Predicate | loadFactorAccountsFor |
P4922
|
FINISHED |
| Object | uncertainty in loads |
—
|
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: uncertainty in loads | Statement: [Load and Resistance Factor Design, loadFactorAccountsFor, uncertainty in loads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loadFactorAccountsFor Context triple: [Load and Resistance Factor Design, loadFactorAccountsFor, uncertainty in loads]
-
A.
containsAccountOf
Indicates that one entity includes, records, or holds information about another entity’s account.
-
B.
numberOfAccumulators
Indicates the total count of accumulators associated with or used by a given entity or system.
-
C.
considersFactor
chosen
Indicates that one entity takes another entity into account as a factor when forming a judgment, decision, or evaluation.
-
D.
hasRankingFactor
Indicates that one entity contributes as a factor to determining the ranking or ordered position of another entity.
-
E.
lastHolderAsCount
Indicates that the referenced entity was the most recent holder of something, with the relationship expressed in terms of a count or number of times it held that thing.
- 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a2957c308190aab81127f82f8aa6 |
completed | April 20, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69e59fe5592c8190bb6122b784496d02 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:38 a.m.