Triple
T8838562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subang Jaya |
E210328
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object | USJ Heights |
E761376
|
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: USJ Heights | Statement: [Subang Jaya, hasNeighbourhood, USJ Heights]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: USJ Heights Context triple: [Subang Jaya, hasNeighbourhood, USJ Heights]
-
A.
USJ
USJ is the commonly used abbreviation for Université Saint-Joseph, a prominent French-language university based in Beirut, Lebanon.
-
B.
USJ
chosen
USJ is a major suburban township in Subang Jaya, Selangor, Malaysia, known for its residential areas, commercial hubs, and accessibility via major highways and public transport.
-
C.
Yomiuri Land
Yomiuri Land is a large amusement park in Inagi, Tokyo, known for its roller coasters, seasonal illuminations, and family-friendly attractions.
-
D.
Tokyo Midtown
Tokyo Midtown is a large mixed-use development complex in central Tokyo known for its upscale shopping, dining, offices, residences, and the Suntory Museum of Art.
-
E.
Alexis Nihon Complex
Alexis Nihon Complex is a large mixed-use shopping, office, and residential complex in downtown Montreal, Quebec, known for its direct access to the Atwater Metro station.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc606c60ac8190b2b6bd7f042c02f8 |
completed | April 1, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0721430819091abe8c13a745725 |
completed | April 3, 2026, 11:11 a.m. |
Created at: March 30, 2026, 6:48 p.m.