Triple
T31403693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government of the Federated States of Micronesia |
E801066
|
entity |
| Predicate | compactName |
P178715
|
FINISHED |
| Object | Compact of Free Association |
—
|
NE NERFINISHED |
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: Compact of Free Association | Statement: [Government of the Federated States of Micronesia, compactName, Compact of Free Association]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compactName Context triple: [Government of the Federated States of Micronesia, compactName, Compact of Free Association]
-
A.
nameShort
chosen
Indicates that an entity has a shortened or abbreviated version of its full name.
-
B.
commonShortNameFor
Indicates that one entity is a commonly used short or abbreviated name for another entity.
-
C.
compactObject
Indicates that one entity is a dense, compact astronomical object (such as a white dwarf, neutron star, or black hole) in relation to another entity or context.
-
D.
shortDesignation
Indicates that one entity serves as a brief or abbreviated designation (such as a short name, code, or label) for another entity.
-
E.
isShortName
Indicates that one name is an abbreviated or shorter form of another name.
- 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_69f224ea9998819086ae2e4f4f4091c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: April 29, 2026, 9:20 p.m.