Triple
T14026198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landour |
E337462
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Lal Tibba |
E337459
|
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: Lal Tibba | Statement: [Landour, hasLandmark, Lal Tibba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lal Tibba Context triple: [Landour, hasLandmark, Lal Tibba]
-
A.
Lal Tibba
chosen
Lal Tibba is a popular scenic viewpoint in Mussoorie, India, known for its panoramic Himalayan mountain vistas.
-
B.
Kabir Chabutra
Kabir Chabutra is a revered spiritual site near Amarkantak, associated with the 15th-century mystic poet-saint Kabir and visited by pilgrims for meditation and reflection.
-
C.
Shikharji
Shikharji is one of the holiest pilgrimage sites in Jainism, revered as the place where many Jain Tirthankaras are believed to have attained moksha.
-
D.
Mata Tripta
Mata Tripta was the mother of Guru Nanak, the founder of Sikhism, and is revered in Sikh tradition for her piety and nurturing role in his early life.
-
E.
Chander Pahar
Chander Pahar is a classic Bengali adventure novel that follows a young man's perilous explorations in the wilds of Africa.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa6ca7481908976ce748a1957b1 |
completed | April 14, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc333b7a08190b4f121fef69f7513 |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:20 p.m.