Triple
T24406878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IRE |
E615333
|
entity |
| Predicate | IRLMeaning |
P72708
|
FINISHED |
| Object | IOC and FIFA country code for Ireland |
—
|
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: IOC and FIFA country code for Ireland | Statement: [IRE, IRLMeaning, IOC and FIFA country code for Ireland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: IRLMeaning Context triple: [IRE, IRLMeaning, IOC and FIFA country code for Ireland]
-
A.
stringMeaning
Indicates that one entity represents the semantic content or interpretation of a given string associated with another entity.
-
B.
letterMeaning
Indicates that a particular letter conveys a specific meaning, interpretation, or semantic content.
-
C.
lettersMeaning
chosen
Indicates that a set of letters or characters represents, signifies, or conveys a particular meaning or message.
-
D.
CISMeaning
Indicates that one concept, term, or symbol conveys, expresses, or stands for a particular meaning or interpretation in a given context.
-
E.
apMeaning
Indicates that one entity expresses, conveys, or signifies the meaning or semantic content of another entity.
- 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_69e2d7e780bc81908049c779e697a7f6 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2957e8d5c8190bfed93aa308eb523 |
completed | April 29, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:05 a.m.