Triple
T26096556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cia-Cia |
E658283
|
entity |
| Predicate | educationExperimentLocation |
P1591
|
FINISHED |
| Object | Bau-Bau City on Buton Island |
—
|
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: Bau-Bau City on Buton Island | Statement: [Cia-Cia, educationExperimentLocation, Bau-Bau City on Buton Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationExperimentLocation Context triple: [Cia-Cia, educationExperimentLocation, Bau-Bau City on Buton Island]
-
A.
educationExperimentStartYear
Indicates the year in which an educational experiment or study was initiated.
-
B.
hostsExperiment
chosen
Indicates that one entity provides the environment or infrastructure in which another entity’s experiment is conducted or run.
-
C.
includesExperiment
Indicates that one entity contains or encompasses a specific experiment as part of its scope, composition, or content.
-
D.
parallelExperiment
Indicates that one experiment is conducted alongside another under comparable conditions, typically for simultaneous testing or comparison.
-
E.
featuresExperiment
Indicates that an entity is involved in, or is the subject of, a specific experimental setup, test, or trial.
- 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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6430a93a48190854ce71df680b2fa |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 26, 2026, 7:51 p.m.