Triple
T12319138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyberpark 3 |
E293681
|
entity |
| Predicate | district |
P2709
|
FINISHED |
| Object | Cyberpark district |
E974370
|
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: Cyberpark district | Statement: [Cyberpark 3, district, Cyberpark district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cyberpark district Context triple: [Cyberpark 3, district, Cyberpark district]
-
A.
Cyberpark district
chosen
Cyberpark district is a technology-focused urban area that hosts the Cyberpark 3 complex and other innovation-oriented facilities.
-
B.
Eastwood Cyberpark
Eastwood Cyberpark is a major information technology and business process outsourcing hub within Eastwood City in Quezon City, Philippines.
-
C.
Pangyo Techno Valley
Pangyo Techno Valley is a major South Korean high-tech industrial and startup hub often dubbed the “Korean Silicon Valley,” known for its concentration of IT, gaming, biotech, and fintech companies.
-
D.
Tekhnopark
Tekhnopark is a Moscow Metro station on the Zamoskvoretskaya Line serving the Technopark technology and business district in southern Moscow.
-
E.
Knowledge Park II
Knowledge Park II is a metro station on the Noida Metro’s Aqua Line serving the Knowledge Park educational and institutional area in Greater Noida, Uttar Pradesh, India.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4ab1b88190979a8403a430a17c |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a9f708081908c052333c3b7df4c |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.