Triple
T4689444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICPC |
E103998
|
entity |
| Predicate | version |
P3286
|
FINISHED |
| Object | ICPC-2 PLUS |
E103998
|
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: ICPC-2 PLUS | Statement: [ICPC, version, ICPC-2 PLUS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ICPC-2 PLUS Context triple: [ICPC, version, ICPC-2 PLUS]
-
A.
ICPC
chosen
ICPC is a standardized coding system used worldwide to classify patient data and clinical activity in primary care settings.
-
B.
ICP
ICP (Initial Connection Protocol) was an early ARPANET protocol used to establish and negotiate initial connections between hosts before handing communication over to higher-level services.
-
C.
I2O
I2O is the acronym for DARPA’s Information Innovation Office, which focuses on advancing cutting-edge information science and technology for national security.
-
D.
AICUM
AICUM is an academic or research-related organization associated with George Washington University.
-
E.
AICUM
AICUM is a nonprofit advocacy organization representing the interests of private, independent colleges and universities in Massachusetts.
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6399621881909aa8ffb1c27284e9 |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03ba56f88190bc9f6da051b5052f |
completed | March 21, 2026, 2:34 a.m. |
Created at: March 20, 2026, 1:16 p.m.