Triple
T28751221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagoya 5000 series |
E731532
|
entity |
| Predicate | laterOperatedOn |
P195348
|
FINISHED |
| Object | Buenos Aires Underground Line D |
—
|
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: Buenos Aires Underground Line D | Statement: [Nagoya 5000 series, laterOperatedOn, Buenos Aires Underground Line D]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterOperatedOn Context triple: [Nagoya 5000 series, laterOperatedOn, Buenos Aires Underground Line D]
-
A.
operatedAfter
Indicates that one operation or action occurred later in time than another specified operation or action.
-
B.
operatedOn
Indicates that one entity has performed a surgical or procedural operation on another entity.
-
C.
laterOperatedUnder
Indicates that an entity, after an earlier period, was subsequently managed, controlled, or conducted under a different name, organization, framework, or operational context.
-
D.
operatedOnDay
Indicates that an entity (such as a service, facility, or system) was in operation or active on a specified day.
-
E.
operatedAt
Indicates that an operation, procedure, or activity was performed at a specific location or facility.
- 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_69f043ed68a881909e858a06bab7a247 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69fdbc5da9988190b95234bce4cc2062 |
completed | May 8, 2026, 10:35 a.m. |
Created at: April 28, 2026, 6:07 a.m.