Triple
T21343837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woody Island |
E526274
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Crescent Group |
—
|
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: Crescent Group | Statement: [Woody Island, partOf, Crescent Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crescent Group Context triple: [Woody Island, partOf, Crescent Group]
-
A.
Crescent Group
chosen
Crescent Group is a cluster of reefs and islets within the disputed Paracel Islands in the South China Sea, known for its strategic location and contested sovereignty.
-
B.
Crescent Limited
Crescent Limited was a historic passenger train service that operated in the southeastern United States before being succeeded by the Southern Crescent.
-
C.
Cayan Group
Cayan Group is a Saudi real estate development company best known for creating high-profile, architecturally distinctive projects in the Middle East.
-
D.
Ittefaq Group
Ittefaq Group is a major Pakistani industrial conglomerate, best known for its steel and engineering businesses and its association with the Sharif family.
-
E.
Meydan Group
Meydan Group is a Dubai-based development and hospitality company best known for creating and managing the Meydan Racecourse and surrounding mixed-use leisure and business destinations.
- 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8a85274f481909e699b390bed9350 |
completed | April 22, 2026, 10:52 a.m. |
Created at: April 16, 2026, 4:44 p.m.