Triple
T20612568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CMa |
E506482
|
entity |
| Predicate | threeLetterAbbreviation |
P12826
|
FINISHED |
| Object | CMa |
—
|
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: CMa | Statement: [CMa, threeLetterAbbreviation, CMa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threeLetterAbbreviation Context triple: [CMa, threeLetterAbbreviation, CMa]
-
A.
portAbbreviation
Indicates that one port is an abbreviated or shortened form of another port’s name or designation.
-
B.
zoneAbbreviation
Indicates that one entity is the abbreviated or short-form representation of a particular zone associated with another entity.
-
C.
cityAbbreviationOf
Indicates that one term is an official or commonly used abbreviated form of the name of a particular city.
-
D.
hasThreeLetterForm
chosen
Indicates that an entity’s written or symbolic form consists of exactly three letters.
-
E.
typeOfAbbreviation
Indicates that one term is an abbreviation of a specific type or category (e.g., acronym, initialism) of another expression.
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad94dac8190921c7769a649c724 |
completed | April 20, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:41 a.m.