Triple
T27869897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ITA |
E704462
|
entity |
| Predicate | hasSameLetterSequenceAs |
P27827
|
FINISHED |
| Object | ISO 3166-1 alpha-3 code for Italy (ITA) |
—
|
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: ISO 3166-1 alpha-3 code for Italy (ITA) | Statement: [ITA, hasSameLetterSequenceAs, ISO 3166-1 alpha-3 code for Italy (ITA)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSameLetterSequenceAs Context triple: [ITA, hasSameLetterSequenceAs, ISO 3166-1 alpha-3 code for Italy (ITA)]
-
A.
hasLetterSetSimilarity
chosen
Indicates that two entities share a similar set of letters, typically based on overlap or resemblance between the characters in their textual representations.
-
B.
letterSequence
Indicates that one sequence of letters directly follows or is ordered in relation to another within a larger string or alphabetic arrangement.
-
C.
sameMatchAs
Indicates that two entities are considered equivalent or represent the same underlying match or correspondence in a given context.
-
D.
hasLexicalSimilarityWith
Indicates that two linguistic items share a significant degree of similarity in form, structure, or wording.
-
E.
isHomographOf
Indicates that two words share the same written form but have different meanings, and possibly different pronunciations or origins.
- 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_69ef840f12408190b539d00d79658abf |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 27, 2026, 6:23 p.m.