Triple
T30635409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penelope Garcia |
E779827
|
entity |
| Predicate | primaryLocationOnShow |
P3231
|
FINISHED |
| Object | BAU headquarters |
—
|
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: BAU headquarters | Statement: [Penelope Garcia, primaryLocationOnShow, BAU headquarters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryLocationOnShow Context triple: [Penelope Garcia, primaryLocationOnShow, BAU headquarters]
-
A.
primaryLocationIn
Indicates that an entity’s main or most significant location is within or at the referenced place.
-
B.
showLocation
Indicates that one entity displays or reveals the position or place of another entity.
-
C.
mainLocation
chosen
Indicates that one entity serves as the primary or central location associated with another entity.
-
D.
primaryPostingLocation
Indicates the main or default location where an entity (such as a message, job, or content item) is originally posted or primarily published.
-
E.
primaryLocationCity
Indicates the city that serves as the main or primary location associated with the subject.
- 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_69f224a50ebc81909b961a94c7f66b12 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a0311c202408190be88a85337aacf11 |
completed | May 12, 2026, 11:40 a.m. |
| PD | Predicate disambiguation | batch_6a0310b0c9c88190ab218d47d4f432ed |
completed | May 12, 2026, 11:36 a.m. |
Created at: April 29, 2026, 8:28 p.m.