Triple
T27770309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | @FCGoaOfficial |
E701724
|
entity |
| Predicate | subjectHasOfficialStatus |
P18869
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [@FCGoaOfficial, subjectHasOfficialStatus, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectHasOfficialStatus Context triple: [@FCGoaOfficial, subjectHasOfficialStatus, true]
-
A.
hadOfficialStatus
Indicates that an entity possessed a formally recognized or legally sanctioned status within an official system or authority.
-
B.
hasFormalStatus
chosen
Indicates that an entity possesses an officially recognized or legally defined status within a formal system or context.
-
C.
hasOfficial
Indicates that an entity is formally associated with, represented by, or served by a designated official or office-holder.
-
D.
coOfficialStatusIn
Indicates that two or more entities share the same official status within a specified context, such as a jurisdiction, organization, or system.
-
E.
areOfficialIn
Indicates that an entity holds an official role, position, or capacity within another entity (such as an organization, institution, or jurisdiction).
- 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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 27, 2026, 4:34 p.m.