Triple
T22473145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Badwani |
E555556
|
entity |
| Predicate | hasNearbyHillStation |
P19493
|
FINISHED |
| Object | Mandu |
—
|
NE NERFINISHED |
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: Mandu | Statement: [Badwani, hasNearbyHillStation, Mandu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mandu Context triple: [Badwani, hasNearbyHillStation, Mandu]
-
A.
Mandu
chosen
Mandu is a historic fortified city in central India renowned for its Afghan-era architecture, romantic legends, and scenic hilltop setting.
-
B.
Bulgogi
Bulgogi is a popular Korean dish of thinly sliced, marinated beef grilled or pan-cooked for a savory-sweet flavor.
-
C.
Ankwei-Goemai
Ankwei-Goemai is an alternative name for the Goemai language spoken by the Goemai people of central Nigeria.
-
D.
Janggyeong Panjeon
Janggyeong Panjeon is a historic wooden repository complex at Haeinsa Temple in South Korea, renowned for its ingenious natural ventilation and preservation system that has safeguarded the Tripitaka Koreana woodblocks for centuries.
-
E.
Baeggu
Baeggu is an Oceanic language of the Meso-Melanesian group spoken by a small community in the Solomon Islands.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be2034c81909d1263f2ed114b46 |
completed | April 29, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:49 p.m.