Triple
T15107892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ES-NC |
E360835
|
entity |
| Predicate | secondPartLength |
P30246
|
FINISHED |
| Object | two letters |
—
|
LITERAL 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: two letters | Statement: [ES-NC, secondPartLength, two letters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondPartLength Context triple: [ES-NC, secondPartLength, two letters]
-
A.
secondPartRepresents
Indicates that one part of something serves as the representation, expression, or depiction of a preceding part.
-
B.
secondPartFormat
chosen
Indicates that the entity represents the format or structure of the second part or segment of a larger item or sequence.
-
C.
secondPartTitle
Indicates that one entity is the second part of the title of another entity.
-
D.
sideTwoLength
Indicates the length measurement of the second side in a geometric figure or object.
-
E.
secondPartFocus
Indicates that the communicative or informational focus is placed on the second part or element in a two-part structure or relation.
- F. None of above.
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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058af8988190977d998f85893836 |
completed | April 15, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69deb96c1d9c81909351558ed97bc5b7 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:05 a.m.