Triple
T11268861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khyber Pass Railway |
E266757
|
entity |
| Predicate | openedToLandiKhanaYear |
P98846
|
FINISHED |
| Object | 1926 |
—
|
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: 1926 | Statement: [Khyber Pass Railway, openedToLandiKhanaYear, 1926]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedToLandiKhanaYear Context triple: [Khyber Pass Railway, openedToLandiKhanaYear, 1926]
-
A.
officialOpeningYear
Indicates the calendar year in which something was formally opened or inaugurated for official use.
-
B.
landingYear
Indicates the year in which a landing event (such as an arrival or touchdown) took place.
-
C.
originalPlannedOpeningYear
Indicates the year that was initially scheduled or intended for something to open, before any delays or changes.
-
D.
openedFirstBoutiqueIn
Indicates that an entity established its first boutique or retail store in a specified location.
-
E.
expansionOpeningDate
Indicates the date on which an expansion of something (such as a facility, service, or project) was officially opened or became operational.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94f60d48190bc925c3cb88641a8 |
completed | April 9, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69d7879bc56c8190b2e8d2193f29de05 |
completed | April 9, 2026, 11:03 a.m. |
| PDg | Predicate description generation | batch_69d796cf74308190a5b29d0dd82954a2 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:31 p.m.