Triple
T10178304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rogers & Hamilton Company |
E235911
|
entity |
| Predicate | timeOfMergerOrAcquisition |
P92542
|
FINISHED |
| Object | late 19th century |
—
|
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: late 19th century | Statement: [Rogers & Hamilton Company, timeOfMergerOrAcquisition, late 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfMergerOrAcquisition Context triple: [Rogers & Hamilton Company, timeOfMergerOrAcquisition, late 19th century]
-
A.
mergerYear
Indicates the year in which two or more entities formally merged into a single entity.
-
B.
mergerResultedIn
Indicates that a merger between entities led to the creation, change, or outcome represented by the related entity or state.
-
C.
laterAcquiredBy
Indicates that one entity was acquired by another entity at a later point in time, after some prior state or ownership.
-
D.
mergerType
Indicates the specific kind or category of merger relationship that exists between the involved entities.
-
E.
acquisitionCompletedYear
Indicates the calendar year in which an acquisition transaction was fully completed.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdecd620808190892c6e3074500280 |
completed | April 2, 2026, 4:13 a.m. |
| PD | Predicate disambiguation | batch_69cd7c79f21c8190a7f31b2eab80b8ba |
completed | April 1, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69cd7edc6cf081909d95859d880a4059 |
completed | April 1, 2026, 8:23 p.m. |
Created at: March 30, 2026, 9:11 p.m.