Triple
T5707725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiltern Railways |
E125825
|
entity |
| Predicate | introducedServiceYear |
P50676
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Chiltern Railways, introducedServiceYear, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedServiceYear Context triple: [Chiltern Railways, introducedServiceYear, 2015]
-
A.
yearOfManufacture
Indicates the specific calendar year in which an item was produced or manufactured.
-
B.
yearFirstDelivered
chosen
Indicates the calendar year in which something (such as a product, service, or item) was first delivered or made available.
-
C.
purchaseYear
Indicates the calendar year in which a purchase or acquisition of something took place.
-
D.
demonstrationYear
Indicates the year in which a demonstration, display, or public showing of something took place.
-
E.
enteredServiceYearWithUSN
Indicates the year in which an entity (such as a vessel or asset) officially entered active service with the United States Navy.
- 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024892fd88190a91133fc88365410 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021c2d8bc8190b947c7d1f423d2f3 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:45 p.m.