Triple
T14343245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pizza (programming language) |
E355652
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | ML (programming language family) |
E131757
|
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: ML (programming language family) | Statement: [Pizza (programming language), influencedBy, ML (programming language family)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ML (programming language family) Context triple: [Pizza (programming language), influencedBy, ML (programming language family)]
-
A.
ML
ML is the vehicle registration code for the Indian state of Meghalaya, used on license plates including those registered in Jowai.
-
B.
ML
ML is a post-nominal honorific indicating a recipient of Papua New Guinea’s Order of Logohu, a national order of merit.
-
C.
ML
chosen
ML is a statically typed functional programming language developed at the University of Edinburgh, known for pioneering features like type inference, pattern matching, and modules that strongly influenced later languages such as Elm, Haskell, and OCaml.
-
D.
ML
ML is the postcode area in central Scotland that covers Motherwell and surrounding towns.
-
E.
M language
M language is a functional, case-sensitive data mashup and transformation language used primarily in Microsoft Power Query for importing, shaping, and combining data from diverse sources.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e89ed9c8190acdb647ee618e919 |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd469d899081909103563f209dd944 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:14 a.m.