Triple
T38588134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deeprun Tram to Stormwind City |
E932390
|
entity |
| Predicate | safeZoneStatus |
P113069
|
FINISHED |
| Object | non-combat area |
—
|
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: non-combat area | Statement: [Deeprun Tram to Stormwind City, safeZoneStatus, non-combat area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: safeZoneStatus Context triple: [Deeprun Tram to Stormwind City, safeZoneStatus, non-combat area]
-
A.
hasZoneStatus
chosen
Indicates that a specified zone currently possesses a particular status or condition.
-
B.
isProtectedAreaStatus
Indicates that an entity has a designated protection status, typically signifying legal or formal recognition as a protected area.
-
C.
securityBarrierStatus
Indicates the current operational state or condition of a security barrier (e.g., whether it is active, inactive, open, closed, or otherwise engaged).
-
D.
safeHarborStatus
Indicates that an entity is protected from certain legal, regulatory, or policy liabilities or penalties when specific qualifying conditions are met.
-
E.
securityStatus
Indicates the current level or condition of protection, risk, or vulnerability associated with an entity or system.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.