Triple
T3418584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eclipse IDE |
E72064
|
entity |
| Predicate | supportsVCS |
P9403
|
FINISHED |
| Object | CVS |
E184314
|
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: CVS | Statement: [Eclipse IDE, supportsVCS, CVS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CVS Context triple: [Eclipse IDE, supportsVCS, CVS]
-
A.
CVS
chosen
CVS (Concurrent Versions System) is an early, widely used open-source version control system that manages changes to source code in collaborative software development.
-
B.
CVS
CVS is the IATA airport code for Cannon Air Force Base, a United States Air Force installation near Clovis, New Mexico.
-
C.
CVS Health
CVS Health is a major American healthcare company that operates a large pharmacy chain and provides health insurance and pharmacy benefit management services.
-
D.
Duane Reade
Duane Reade is a New York City–based chain of neighborhood pharmacy and convenience stores known for its dense urban presence and everyday consumer goods.
-
E.
Walgreens Boots Alliance
Walgreens Boots Alliance is a major global pharmacy-led health and retail company that operates the Walgreens and Boots drugstore chains, among other health and beauty brands.
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb92df1e48190bbf22a47e44579f1 |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3546e710c8190a6b9523b77f6c893 |
completed | March 13, 2026, 12:03 a.m. |
Created at: March 8, 2026, 3:15 p.m.