Triple
T35422196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star Road |
E1023824
|
entity |
| Predicate | isSecretArea |
P108773
|
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: [Star Road, isSecretArea, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSecretArea Context triple: [Star Road, isSecretArea, true]
-
A.
hasSecretArea
chosen
Indicates that an entity contains or is associated with a hidden or restricted area not normally accessible or visible.
-
B.
isProtectedAreaOf
Indicates that a designated protected area (such as a park or reserve) is established to conserve and manage a specific geographic region or natural feature.
-
C.
hasSecurityArea
Indicates that an entity is associated with, assigned to, or falls within a defined security-controlled area or zone.
-
D.
hasSecretLevel
Indicates that an entity is associated with a particular secrecy or security classification level.
-
E.
isSecretFrom
Indicates that certain information is intentionally withheld by one entity and not disclosed to 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_69f76df6704081909900c60be10d5849 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7958d59388190a937ac6f4c81d3c9 |
completed | May 3, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f7910770108190bdd39ddb5d304f54 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.