Triple
T24744144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PE |
E618647
|
entity |
| Predicate | hasTwoLetterFormat |
P2261
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [PE, hasTwoLetterFormat, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTwoLetterFormat Context triple: [PE, hasTwoLetterFormat, true]
-
A.
isTwoLetterCode
chosen
Indicates that something functions as a two-letter abbreviated code representing a larger name or concept.
-
B.
hasThreeLetterForm
Indicates that an entity’s written or symbolic form consists of exactly three letters.
-
C.
hasPostcodeFormat
Indicates that a location or address follows a specific postal code pattern or structure defined by a given standard.
-
D.
hasStandardLetterCount
Indicates that an entity’s associated text or label contains a number of letters that matches a predefined standard or expected count.
-
E.
hasTwoWordForm
Indicates that an entity is represented or expressed using a form consisting of exactly two words.
- 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_69e2fab8f95c81908bb9e552cf3280c2 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f410a25ab88190a72db43043c1f6ff |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:20 a.m.