Triple
T11268864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khyber Pass Railway |
E266757
|
entity |
| Predicate | touristServicesResumedYear |
P98848
|
FINISHED |
| Object | 1996 |
—
|
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: 1996 | Statement: [Khyber Pass Railway, touristServicesResumedYear, 1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: touristServicesResumedYear Context triple: [Khyber Pass Railway, touristServicesResumedYear, 1996]
-
A.
beganDiversificationIntoTourism
Indicates that an entity started expanding its activities or operations into the tourism sector from a certain point in time.
-
B.
firstTourYear
Indicates the year in which an entity (such as a performer, team, or event) undertook its first tour.
-
C.
travelEndYear
Indicates the year in which a travel event or journey concludes.
-
D.
openedAsFreeServiceYear
Indicates the year in which something (such as a facility, platform, or service) was first made available to users free of charge.
-
E.
operatedSince
Indicates that an entity has been in operation continuously from a specified starting time or date.
- 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.