Triple
T27709309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Allis |
E698633
|
entity |
| Predicate | hasIndustrialCompanyHistory |
P3008
|
FINISHED |
| Object | Allis-Chalmers Manufacturing Company |
—
|
NE NERFINISHED |
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: Allis-Chalmers Manufacturing Company | Statement: [West Allis, hasIndustrialCompanyHistory, Allis-Chalmers Manufacturing Company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndustrialCompanyHistory Context triple: [West Allis, hasIndustrialCompanyHistory, Allis-Chalmers Manufacturing Company]
-
A.
hasIndustrialCompany
Indicates that one entity possesses, controls, or is associated with an industrial company.
-
B.
hasHistoricIndustry
chosen
Indicates that an entity has been associated with a notable or historically significant industry or industrial activity in the past.
-
C.
hasIndustrialHeritage
Indicates that an entity possesses or is associated with historically significant industrial sites, structures, or practices.
-
D.
hasIndustrialContext
Indicates that something is associated with, situated within, or relevant to an industrial setting, process, or application.
-
E.
hasIndustrialSector
Indicates that an entity is associated with, operates in, or belongs to a particular industrial sector or branch of economic activity.
- 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_69ef590f655c81909f93893b3b3219b2 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
Created at: April 27, 2026, 3:01 p.m.