Triple
T34284754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PHMNL |
E879701
|
entity |
| Predicate | firstTwoCharactersMeaning |
P117561
|
FINISHED |
| Object | country code PH for Philippines |
—
|
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: country code PH for Philippines | Statement: [PHMNL, firstTwoCharactersMeaning, country code PH for Philippines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTwoCharactersMeaning Context triple: [PHMNL, firstTwoCharactersMeaning, country code PH for Philippines]
-
A.
sixthAndSeventhCharactersMeaning
Indicates that the meaning or interpretation is determined specifically by the sixth and seventh characters of a given string or code.
-
B.
hasNextTwoCharactersMeaning
chosen
Indicates that the next two characters in a sequence together form a specific, meaningful unit or interpretation.
-
C.
associatedCharacterMeaning
Indicates that there is a relationship between a character and the meaning, interpretation, or concept that this character is intended to represent.
-
D.
firstCharactersOfPlate
Indicates that one entity specifies the initial characters appearing at the beginning of another entity’s license plate identifier.
-
E.
firstCharacteristicNumeralMeaning
Indicates that the relationship specifies the meaning associated with the first characteristic numeral of an entity or concept.
- 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_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:57 a.m.