Triple
T34284755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PHMNL |
E879701
|
entity |
| Predicate | lastThreeCharactersMeaning |
P91001
|
FINISHED |
| Object | location code MNL for Manila |
—
|
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: location code MNL for Manila | Statement: [PHMNL, lastThreeCharactersMeaning, location code MNL for Manila]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastThreeCharactersMeaning Context triple: [PHMNL, lastThreeCharactersMeaning, location code MNL for Manila]
-
A.
hasLastThreeLettersMeaning
chosen
Indicates that the last three letters of one entity (typically a word or string) together form a meaningful unit or have a specific semantic significance.
-
B.
lastThreeCharacters
Indicates that one entity consists of, or specifies, the final three characters of another entity’s string representation.
-
C.
sixthAndSeventhCharactersMeaning
Indicates that the meaning or interpretation is determined specifically by the sixth and seventh characters of a given string or code.
-
D.
digitMeaning
Indicates that a particular digit symbol is associated with a specific numerical value or conceptual meaning.
-
E.
letterMeaning
Indicates that a particular letter conveys a specific meaning, interpretation, or semantic content.
- 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_69f349b5f6648190b9420d94a4cd16e0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:57 a.m.