Triple
T1929391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iowa City |
E40906
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | IC |
E40906
|
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: IC | Statement: [Iowa City, hasNickname, IC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IC Context triple: [Iowa City, hasNickname, IC]
-
A.
IC
chosen
IC is a common abbreviation for Iowa City, a university-centered community best known as the home of the University of Iowa and its renowned Writers' Workshop.
-
B.
ICA
ICA is a contemporary art museum in Philadelphia known for its innovative exhibitions and support of emerging artists.
-
C.
CI
CI is the IATA airline designator for China Airlines, the flag carrier of Taiwan.
-
D.
ICC
ICC is the commonly used abbreviation for the International Criminal Court, a permanent tribunal in The Hague that prosecutes individuals for genocide, crimes against humanity, war crimes, and the crime of aggression.
-
E.
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.
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb266dcb4819090be83556615d0db |
completed | March 7, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3ed31448190a2e5d088ab5886b8 |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:35 p.m.