Triple
T7819722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Parliament building in Dili |
E181096
|
entity |
| Predicate | meetsSafetyStandardsFor |
P17338
|
FINISHED |
| Object | public government buildings in Timor-Leste |
—
|
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: public government buildings in Timor-Leste | Statement: [National Parliament building in Dili, meetsSafetyStandardsFor, public government buildings in Timor-Leste]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meetsSafetyStandardsFor Context triple: [National Parliament building in Dili, meetsSafetyStandardsFor, public government buildings in Timor-Leste]
-
A.
safetyStandardsSimilarTo
Indicates that two entities have safety standards that are comparable or closely aligned in their requirements or rigor.
-
B.
hasSafetyRegulationCompliance
chosen
Indicates that an entity adheres to, satisfies, or is in conformity with specified safety regulations or standards.
-
C.
measuresSafetyUsing
Indicates that an entity evaluates or assesses safety by employing a specified method, tool, or standard.
-
D.
hasSafetyCharacteristic
Indicates that an entity possesses a specific safety-related property, feature, or attribute.
-
E.
safetyCategory
Indicates the classification of something according to its level or type of safety.
- 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf97247c481908b18287eb7ee0a53 |
completed | March 30, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69cae91687788190af9cb7aaa996d291 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:40 p.m.