Triple
T20685625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberoi area |
E508406
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Petitenget area |
—
|
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: Petitenget area | Statement: [Oberoi area, near, Petitenget area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Petitenget area Context triple: [Oberoi area, near, Petitenget area]
-
A.
Petitenget
chosen
Petitenget is a trendy coastal neighborhood in Bali, Indonesia, known for its upscale beach clubs, boutique hotels, and vibrant dining scene near Seminyak.
-
B.
Havelseen area
The Havelseen area is a scenic lake district along the Havel River in and around Berlin, known for its interconnected waterways, natural landscapes, and recreational opportunities.
-
C.
Falketind area
The Falketind area is a popular mountainous hiking region in Norway known for its dramatic peaks, glaciers, and challenging alpine routes.
-
D.
Kleivstua area
The Kleivstua area is a scenic highland viewpoint and recreational spot in Hole, Norway, known for its panoramic views over the surrounding forests, lakes, and hills.
-
E.
Nybrokajen area
The Nybrokajen area is a central waterfront district in Stockholm known for its harbor, promenades, and proximity to cultural and commercial attractions.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6beabf72881909771b6c6a81276d6 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 11:45 a.m.