Triple
T16113129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robina Town Centre |
E390929
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | QIC |
E990775
|
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: QIC | Statement: [Robina Town Centre, owner, QIC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QIC Context triple: [Robina Town Centre, owner, QIC]
-
A.
QIC
chosen
QIC is an Australian investment management company that develops and manages major retail and commercial property assets.
-
B.
CIQ
CIQ is a technology company that provides enterprise support and services for Rocky Linux and other open-source infrastructure solutions.
-
C.
IQT
IQT is the IATA airport code for Coronel FAP Francisco Secada Vignetta International Airport serving Iquitos, Peru.
-
D.
QCN
QCN is a congestion notification mechanism defined in the IEEE 802.1Qau standard to manage and control traffic congestion in Ethernet networks.
-
E.
CiQUS
CiQUS is a scientific research center focused on advanced interdisciplinary studies in chemistry and related molecular sciences.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20168bf98819093c3260d4fde2b53 |
completed | April 17, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2a44cb48190abe3b1ea27349734 |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5 a.m.