Triple
T712631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Chrome Canary |
E14242
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Chromium |
E13759
|
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: Chromium | Statement: [Google Chrome Canary, basedOn, Chromium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chromium Context triple: [Google Chrome Canary, basedOn, Chromium]
-
A.
Chromium
chosen
Chromium is an open-source web browser project that serves as the foundation for several major browsers, including Google Chrome.
-
B.
Copper
Copper is one of the animal mascots created to represent and promote the 2002 Winter Olympics in Salt Lake City.
-
C.
Samnium
Samnium was an ancient region of south-central Italy inhabited by the Samnites, an Oscan-speaking Italic people known for their wars with the Roman Republic.
-
D.
Boric
Boric is the surname of Gabriel Boric, the Chilean politician who became one of the world’s youngest heads of state when he was elected President of Chile.
-
E.
Tinte
Tinte is a small village in the Dutch province of South Holland, known for its rural character and annual local festivities.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a55dd5908190bfb8816f65ea02e1 |
completed | March 1, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dcb3452c8190a150b4a182807813 |
completed | March 2, 2026, 6:53 p.m. |
Created at: March 1, 2026, 7:36 p.m.