Triple
T22503686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GEOVIA |
E556336
|
entity |
| Predicate | offersProduct |
P10882
|
FINISHED |
| Object | GEOVIA GEMS |
—
|
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: GEOVIA GEMS | Statement: [GEOVIA, offersProduct, GEOVIA GEMS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GEOVIA GEMS Context triple: [GEOVIA, offersProduct, GEOVIA GEMS]
-
A.
GEOVIA
chosen
GEOVIA is a Dassault Systèmes software brand focused on modeling and simulating the earth’s resources for mining, geology, and urban planning.
-
B.
EGIS
EGIS is the principal intelligence agency of Egypt, responsible for national security, foreign intelligence, and counterintelligence operations.
-
C.
Novagems
Novagems are colorful, faceted glass jewels used as decorative elements, notably to adorn structures like the Tower of Jewels.
-
D.
GEM
GEM is the Growth Enterprise Market board of the Hong Kong Stock Exchange, designed for smaller, high-growth and emerging companies to raise capital.
-
E.
GEM
GEM (Graphics Environment Manager) is a graphical user interface and desktop environment developed by Digital Research in the 1980s, best known for bringing a Macintosh-like windowed interface to DOS-based personal computers and the Atari ST.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5a01888190ba65a05616b63cbe |
completed | April 29, 2026, 1:22 a.m. |
Created at: April 16, 2026, 8:50 p.m.