Triple
T11405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnegie Steel Company |
E232
|
entity |
| Predicate | peakOutputRanking |
P928
|
FINISHED |
| Object | one of the largest steel producers in the world |
—
|
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: one of the largest steel producers in the world | Statement: [Carnegie Steel Company, peakOutputRanking, one of the largest steel producers in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakOutputRanking Context triple: [Carnegie Steel Company, peakOutputRanking, one of the largest steel producers in the world]
-
A.
honorLevel
Indicates the degree or status of respect, distinction, or recognition accorded to an entity relative to others.
-
B.
awardCriteria
Indicates the standards or conditions used to determine eligibility for receiving an award or recognition.
-
C.
honorificRank
Indicates that one entity holds a formal title or honorific status in relation to another entity.
-
D.
status
Indicates the current condition, state, or standing of an entity within a given context.
-
E.
majorPowerIn
Indicates that an entity holds significant political, economic, or military influence within a specified domain, region, or context.
- 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a241ea1ea081908e8a81ca97531ba5 |
completed | Feb. 28, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69a23fe7da8c8190aea795b62cb91621 |
completed | Feb. 28, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69a241e933288190b02ef5369f7b8834 |
completed | Feb. 28, 2026, 1:16 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.