Triple
T22662285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maravanthe Beach |
E559695
|
entity |
| Predicate | hasNearbyHighway |
P385
|
FINISHED |
| Object | NH66 |
—
|
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: NH66 | Statement: [Maravanthe Beach, hasNearbyHighway, NH66]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NH66 Context triple: [Maravanthe Beach, hasNearbyHighway, NH66]
-
A.
NH66
chosen
NH66 is a national highway in India that passes through Tamil Nadu, including the Viluppuram district, connecting key towns and facilitating regional transport.
-
B.
H68
H68 is the hull number assigned to HMS Foresight, a British Royal Navy destroyer.
-
C.
N86
N86 is a Nokia smartphone model known for its dual-slider design and advanced camera features for its time.
-
D.
N76
The N76 is a Nokia clamshell smartphone from the mid-2000s that ran the Symbian S60 platform and emphasized multimedia features in a slim, stylish design.
-
E.
N-65
N-65 is a national highway in Pakistan that serves as an important east–west route connecting key cities and regions within the country’s road network.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17660c0c88190bed9fa8f6517eec4 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:08 p.m.