Triple
T17569544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Less |
E427898
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | LESS |
—
|
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: LESS | Statement: [Less, alsoKnownAs, LESS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LESS Context triple: [Less, alsoKnownAs, LESS]
-
A.
the Less
The Less is an epithet traditionally used to distinguish James the Less, one of the Twelve Apostles of Jesus, from other early Christian figures named James.
-
B.
Less
chosen
Less is a dynamic stylesheet language that extends CSS with features like variables, mixins, and functions to make writing and maintaining styles more efficient.
-
C.
LE
LE is the abbreviation for Les Engagés, a centrist political party in Belgium that emerged from the reform of the former Humanist Democratic Centre (cdH).
-
D.
LEV
LEV is the vehicle registration code used on license plates for the German city of Leverkusen.
-
E.
LEV
LEV is the commonly used abbreviation for Lev Praha, a former professional ice hockey club based in Prague, Czech Republic.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592fe8408190bd8fed1920ab3601 |
completed | April 19, 2026, 4:25 a.m. |
Created at: April 10, 2026, 5:50 a.m.