Triple
T18480613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bluewaters Island |
E451545
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Meraas |
—
|
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: Meraas | Statement: [Bluewaters Island, developer, Meraas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meraas Context triple: [Bluewaters Island, developer, Meraas]
-
A.
Meraas
chosen
Meraas is a Dubai-based property and investment company known for developing large-scale urban, leisure, and waterfront destinations across the city.
-
B.
Marol
Marol is a prominent residential and commercial locality in Mumbai, India, situated within the larger Andheri suburb and known for its connectivity and mixed urban character.
-
C.
Alhandra
Alhandra is a town in Portugal historically noted as the birthplace of the famed Portuguese navigator and empire-builder Afonso de Albuquerque.
-
D.
Hollenburg
Hollenburg is a village and wine-growing district of Krems an der Donau in Lower Austria, known for its historic castle and location along the Danube.
-
E.
Ayala Land
Ayala Land is a major Philippine real estate developer known for master-planned mixed-use estates, commercial centers, and residential communities across the country.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53066a7108190a50eda9b489c90ca |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 11:35 a.m.