Triple
T14026082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lal Tibba |
E337459
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Landour |
E337462
|
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: Landour | Statement: [Lal Tibba, near, Landour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Landour Context triple: [Lal Tibba, near, Landour]
-
A.
Landour
chosen
Landour is a quiet, colonial-era hill cantonment in Uttarakhand, India, known for its scenic Himalayan views, old-world charm, and literary connections.
-
B.
Magarpatta
Magarpatta is a planned integrated township in Pune, India, known for its large IT park, residential complexes, and commercial infrastructure.
-
C.
Hubli
Hubli is a major commercial and transportation hub in the Indian state of Karnataka, known for its busy railway junction and growing industrial economy.
-
D.
Kalady
Kalady is a village in the Indian state of Kerala, revered as the birthplace of the 8th-century philosopher and theologian Adi Shankaracharya and an important Hindu pilgrimage center.
-
E.
Coorg
Coorg, also known as Kodagu, is a scenic hill district in Karnataka, India, famed for its coffee plantations, lush forests, and mist-covered landscapes.
- 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.