Triple
T8910832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zone 1 |
E212175
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Green Park area |
unclear NED1
|
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: Green Park area | Statement: [Zone 1, contains, Green Park area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Green Park area Context triple: [Zone 1, contains, Green Park area]
-
A.
Green Park
Green Park is a public park in Kanpur, India, historically significant enough to lend its name to the nearby Green Park Stadium.
-
B.
Green Park
Green Park is a central London royal park known for its open lawns, mature trees, and tranquil atmosphere between Buckingham Palace and Piccadilly.
-
C.
Green Park
Green Park is a Delhi Metro station in South Delhi serving the Green Park and nearby Hauz Khas and Safdarjung areas.
-
D.
Georgetown Park area
The Georgetown Park area is a prominent mixed-use shopping and residential district in Washington, D.C.’s historic Georgetown neighborhood, known for its upscale retail, dining, and proximity to the C&O Canal.
-
E.
Randalls Park area
Randalls Park area is a business park located in Leatherhead, Surrey, known for hosting a range of commercial offices and corporate facilities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6523b9348190a7cefac9e73e2004 |
completed | April 1, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba36f8cc8190ab57ddc99b7219d1 |
completed | April 3, 2026, 1:01 p.m. |
Created at: March 30, 2026, 6:55 p.m.