Triple
T12251097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orléans tramway |
E291971
|
entity |
| Predicate | lineAOpened |
P37968
|
FINISHED |
| Object | 24 November 2000 |
—
|
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: 24 November 2000 | Statement: [Orléans tramway, lineAOpened, 24 November 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineAOpened Context triple: [Orléans tramway, lineAOpened, 24 November 2000]
-
A.
originalLineOpened
chosen
Indicates that a transportation or service line began its initial operation or was first opened for use.
-
B.
openingLineStatus
Indicates the status or condition of an entity’s opening line, such as whether it exists, is valid, or meets a specified criterion.
-
C.
lineOpeningPhase
Indicates the phase or stage during which a line (such as a service, process, or system) is initially opened or brought into operation.
-
D.
line3OpeningSegment
Indicates that something is the initial or opening segment of a third line in a sequence or structure.
-
E.
lineOpeningContext
Indicates the contextual situation or circumstances present at the moment a line (e.g., of dialogue, text, or code) begins.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d38ee10819093ed41d2954bf4ef |
completed | April 10, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69d91c46dcd88190a263db30804bff36 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:52 p.m.