Triple
T17394452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PacMed Center |
E422913
|
entity |
| Predicate | tenantHistory |
P127314
|
FINISHED |
| Object | Amazon.com 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: Amazon.com headquarters | Statement: [PacMed Center, tenantHistory, Amazon.com headquarters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tenantHistory Context triple: [PacMed Center, tenantHistory, Amazon.com headquarters]
-
A.
ownershipHistory
Indicates the sequence of past and present owners associated with an entity over time.
-
B.
venueHistory
Indicates a historical relationship where a venue has previously hosted, been associated with, or served as the location for an event or activity.
-
C.
towerUseHistorical
Indicates that a tower has been used for historical purposes or holds significance due to its historical use.
-
D.
estimatedHistory
Indicates that there is an inferred or approximated record of past states, events, or values associated with an entity or relationship.
-
E.
tenantFormerName
Indicates that the specified name was previously used by the tenant before their current official name.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43abbd84881908af91bb7c9784026 |
completed | April 19, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69e3b02ac8688190a7182f1b2151d721 |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a33e8481908fa6ef45290d08aa |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:45 a.m.