Triple
T22876350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Common Lisp the Language |
E567335
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | CLtL1 |
—
|
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: CLtL1 | Statement: [Common Lisp the Language, alsoKnownAs, CLtL1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CLtL1 Context triple: [Common Lisp the Language, alsoKnownAs, CLtL1]
-
A.
CLtL
chosen
CLtL is a foundational reference book by Guy L. Steele Jr. that defined and documented the Common Lisp programming language in its early standardization.
-
B.
CLtL2
CLtL2 is the second edition of the influential reference book "Common Lisp the Language," which documents and explains the Common Lisp programming language.
-
C.
CLVT
CLVT is the stock ticker symbol for Clarivate Analytics, a global company that provides data, analytics, and insights to support innovation and research across various industries.
-
D.
.cl
.cl is the country code top-level domain (ccTLD) assigned to Chile for use on the internet.
-
E.
C11
C11 is a London bus route that operates in northwest London, connecting areas such as Archway, Hampstead, and Brent Cross.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f58a7308190b710bdf013e2e114 |
completed | April 29, 2026, 3:47 a.m. |
Created at: April 17, 2026, 3:39 p.m.