Triple
T1833762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meghalaya |
E41016
|
entity |
| Predicate | hasNotablePlace |
P10233
|
FINISHED |
| Object | Mawsynram |
E162722
|
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: Mawsynram | Statement: [Meghalaya, hasNotablePlace, Mawsynram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mawsynram Context triple: [Meghalaya, hasNotablePlace, Mawsynram]
-
A.
Mawsynram
chosen
Mawsynram is a village in the Indian state of Meghalaya renowned for being one of the wettest places on Earth, receiving extraordinarily high annual rainfall.
-
B.
Cherrapunji
Cherrapunji is a town in northeastern India renowned for its exceptionally high rainfall and dramatic living root bridges.
-
C.
Jowai
Jowai is a hill town in the northeastern Indian state of Meghalaya, known for its scenic landscapes and Jaintia tribal culture.
-
D.
Nainital
Nainital is a popular hill station and lake town in northern India, known for its scenic beauty and colonial-era charm.
-
E.
Shillong
Shillong is the capital city of the northeastern Indian state of Meghalaya, known for its scenic hills, colonial-era architecture, and vibrant cultural life.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb02540dc819081b19a09562139cd |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf45fcd08190a82a4057470eb3ee |
completed | March 8, 2026, 8:42 p.m. |
Created at: March 4, 2026, 7:33 p.m.