Triple
T1092792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conrail |
E24202
|
entity |
| Predicate | privatizedOn |
P23781
|
FINISHED |
| Object | 1987-03-26 |
—
|
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: 1987-03-26 | Statement: [Conrail, privatizedOn, 1987-03-26]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: privatizedOn Context triple: [Conrail, privatizedOn, 1987-03-26]
-
A.
wasProprietaryUntil
Indicates that something was owned or controlled as proprietary (not publicly available or open) up to a specified point in time.
-
B.
nationalisationYear
Indicates the year in which an entity was taken into state ownership or control through nationalisation.
-
C.
isPrivateCompany
Indicates that an entity operates as a privately held company, not publicly traded on a stock exchange.
-
D.
includesPrivateCompanies
Indicates that the relationship or set explicitly encompasses or applies to private companies as part of its scope.
-
E.
publicOrPrivate
Indicates whether something is designated as publicly accessible or restricted to private use or access.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99bd06c8190bce1d77b0337b07c |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b743175481908f3967e589717c55 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b80f0fb08190a19a50e38ae8f16c |
completed | March 1, 2026, 10:05 p.m. |
Created at: March 1, 2026, 7:42 p.m.