Triple
T19599056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AREX airport railroad |
E470419
|
entity |
| Predicate | fullLineOpening |
P51994
|
FINISHED |
| Object | 2010 |
—
|
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: 2010 | Statement: [AREX airport railroad, fullLineOpening, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fullLineOpening Context triple: [AREX airport railroad, fullLineOpening, 2010]
-
A.
originalLineOpened
Indicates that a transportation or service line began its initial operation or was first opened for use.
-
B.
fullLineOpeningDate
chosen
Indicates the date on which an entire line (such as a route, service, or system) was officially opened for operation.
-
C.
firstLineOpened
Indicates that the first line of something (e.g., a document, file, or text block) has been opened or accessed.
-
D.
fullOpeningCompleted
Indicates that the action or process of fully opening something has been completed.
-
E.
openingLine
Indicates that one entity is the first line or initial statement that begins another entity, such as a text, speech, or conversation.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407d46188190b9818665b2a698a5 |
completed | April 20, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69e514e166dc8190a0f147e0b4c8bbe7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:43 p.m.