Triple
T6281157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LEMD |
E140783
|
entity |
| Predicate | hasFourLetterCodeLength |
P3747
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [LEMD, hasFourLetterCodeLength, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFourLetterCodeLength Context triple: [LEMD, hasFourLetterCodeLength, 4]
-
A.
hasFourLetterCode
chosen
Indicates that an entity is associated with a code consisting of exactly four characters.
-
B.
hasCodeLetters
Indicates that an entity is associated with, or represented by, a specific sequence of letters used as its code or identifier.
-
C.
hasFourthCharacter
Indicates that one entity possesses or is associated with a specific fourth character in a sequence or string.
-
D.
isTwoLetterCode
Indicates that something functions as a two-letter abbreviated code representing a larger name or concept.
-
E.
hasNumberOfLetters
Indicates a relationship where an entity is associated with the count of letters it contains.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063dee62881908347283f16dcbe68 |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c05608a5608190b22a1fdc4060470d |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:26 p.m.