Triple
T11268856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khyber Pass Railway |
E266757
|
entity |
| Predicate | endStation |
P3569
|
FINISHED |
| Object | Landi Kotal |
E264741
|
NE 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: Landi Kotal | Statement: [Khyber Pass Railway, endStation, Landi Kotal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Landi Kotal Context triple: [Khyber Pass Railway, endStation, Landi Kotal]
-
A.
Landi Kotal
chosen
Landi Kotal is a town in Pakistan’s Khyber District, historically significant as a key trading and military post near the Khyber Pass on the route to Afghanistan.
-
B.
Shergarh
Shergarh is the inner fortification within Pakistan’s historic Ranikot Fort, noted for its strategic defensive position and architectural significance.
-
C.
Shergarh
Shergarh is a town in the Jodhpur district of Rajasthan, India, known for its rural setting and local administrative significance.
-
D.
Rivaz
Rivaz is a picturesque Swiss wine-growing village on the shores of Lake Geneva, renowned for its terraced vineyards within the UNESCO-listed Lavaux region.
-
E.
Rakhsh
Rakhsh is the legendary, powerful warhorse of the Persian hero Rostam in the epic Shahnameh.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94f60d48190bc925c3cb88641a8 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ccd52c20819093e03bba2fd359b7 |
completed | April 19, 2026, 12:38 p.m. |
Created at: April 8, 2026, 9:31 p.m.