Triple
T14440965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apache OpenOffice |
E358080
|
entity |
| Predicate | component |
P35
|
FINISHED |
| Object | Calc |
E761749
|
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: Calc | Statement: [Apache OpenOffice, component, Calc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calc Context triple: [Apache OpenOffice, component, Calc]
-
A.
Calc
chosen
Calc is the spreadsheet application of the LibreOffice suite, used for creating, editing, and analyzing data in tabular form.
-
B.
differential calculus
Differential calculus is a branch of mathematics that studies how functions change, primarily through the concepts of derivatives and rates of change.
-
C.
Calymath
Calymath is a character in Christopher Marlowe’s play "The Jew of Malta," depicted as the son of the Turkish Sultan and a key political and military figure in the drama’s conflict.
-
D.
math
The math module in Python’s standard library provides access to mathematical functions and constants for performing floating-point and other numeric computations.
-
E.
Mathematics
"Mathematics" is a politically charged hip-hop track by Mos Def that critiques social injustice, systemic inequality, and the statistical realities of urban life.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914c1398819090fa2a74d257ba3e |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bda6ee88190aeec77092eb3576a |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:18 a.m.