Triple
T56852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | India |
E1124
|
entity |
| Predicate | nationalFlower |
P755
|
FINISHED |
| Object |
Lotus
The lotus is a sacred aquatic flower widely revered in Indian culture and religion, symbolizing purity, beauty, and spiritual enlightenment.
|
E5061
|
NE FINISHED |
How this triple was built (4 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: Lotus | Statement: [India, nationalFlower, Lotus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lotus Context triple: [India, nationalFlower, Lotus]
-
A.
Chevrolet Corvette
The Chevrolet Corvette is an iconic American sports car renowned for its high performance, distinctive styling, and long-running legacy since its debut in the 1950s.
-
B.
Packard
Packard is a surname most prominently associated with David Packard, the American electrical engineer and co-founder of Hewlett-Packard.
-
C.
Wuling
Wuling is a Chinese automotive marque known for producing affordable compact cars and microvans, marketed through a joint venture involving General Motors.
-
D.
Hummer
Hummer is a line of large, military-inspired sport utility vehicles known for their rugged off-road capability, boxy design, and high fuel consumption.
-
E.
Porter
Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lotus Triple: [India, nationalFlower, Lotus]
Generated description
The lotus is a sacred aquatic flower widely revered in Indian culture and religion, symbolizing purity, beauty, and spiritual enlightenment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lotus Target entity description: The lotus is a sacred aquatic flower widely revered in Indian culture and religion, symbolizing purity, beauty, and spiritual enlightenment.
-
A.
Chevrolet Corvette
The Chevrolet Corvette is an iconic American sports car renowned for its high performance, distinctive styling, and long-running legacy since its debut in the 1950s.
-
B.
Packard
Packard is a surname most prominently associated with David Packard, the American electrical engineer and co-founder of Hewlett-Packard.
-
C.
Wuling
Wuling is a Chinese automotive marque known for producing affordable compact cars and microvans, marketed through a joint venture involving General Motors.
-
D.
Hummer
Hummer is a line of large, military-inspired sport utility vehicles known for their rugged off-road capability, boxy design, and high fuel consumption.
-
E.
Porter
Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
- F. None of above. chosen
Provenance (5 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24b07f4a881909e32115e84da02a3 |
completed | Feb. 28, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2554a9e70819099ab14df3da5e403 |
completed | Feb. 28, 2026, 2:39 a.m. |
| NEDg | Description generation | batch_69a2569d3d008190ad1546d18ba30375 |
completed | Feb. 28, 2026, 2:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2573414808190bbab27e1f48479a5 |
completed | Feb. 28, 2026, 2:47 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.