Triple
T18991369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NICTS |
E464690
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | NICTS |
—
|
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: NICTS | Statement: [NICTS, abbreviation, NICTS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NICTS Context triple: [NICTS, abbreviation, NICTS]
-
A.
NICTS
chosen
NICTS is the government agency responsible for administering courts and tribunals in Northern Ireland.
-
B.
NSICT
NSICT (Nhava Sheva International Container Terminal) is a major private container terminal at India’s Jawaharlal Nehru Port, handling significant volumes of the country’s maritime container traffic.
-
C.
NITT
NITT is a premier public engineering and technology institute in Tiruchirappalli, India, renowned for its rigorous academics and research.
-
D.
NIS
NIS is NVIDIA Image Scaling, a driver-based spatial upscaling and sharpening technology designed to improve game performance and visual quality.
-
E.
NIS
NIS is the abbreviation of the Nederlandsch-Indische Spoorweg Maatschappij, a historic railway company that operated train services in the former Dutch East Indies (now Indonesia).
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d67dee4c8190ac2017ff748ea6aa |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:01 p.m.