Triple
T16542919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skycab |
E401864
|
entity |
| Predicate | hasSectionServed |
P123968
|
FINISHED |
| Object | two main sections of Pearlridge Center |
—
|
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: two main sections of Pearlridge Center | Statement: [Skycab, hasSectionServed, two main sections of Pearlridge Center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSectionServed Context triple: [Skycab, hasSectionServed, two main sections of Pearlridge Center]
-
A.
hasStateServed
Indicates that an entity has served in, been employed by, or otherwise held a role within a particular state or governmental jurisdiction.
-
B.
isServed
Indicates that one entity provides or delivers a service, product, or assistance to another entity.
-
C.
hasServingCustom
Indicates that an entity follows or applies a particular custom, style, or convention in how something (such as food, drink, or service) is served.
-
D.
hasSecondaryStateServed
Indicates that an entity has served in a secondary (additional) state or jurisdiction beyond its primary one.
-
E.
hasPrimaryStateServed
Indicates that an entity has served or operated primarily within a specified state or state-level jurisdiction.
- F. None of above. chosen
Provenance (4 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3455fab34819086c77ff45b85f5db |
completed | April 18, 2026, 8:48 a.m. |
| PD | Predicate disambiguation | batch_69e2969fab208190ad64164d24748c45 |
completed | April 17, 2026, 8:22 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:15 a.m.