Triple
T1015477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madam Secretary |
E21919
|
entity |
| Predicate | addressMode |
P23434
|
FINISHED |
| Object | direct address |
—
|
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: direct address | Statement: [Madam Secretary, addressMode, direct address]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: addressMode Context triple: [Madam Secretary, addressMode, direct address]
-
A.
address
Indicates that one entity directs spoken or written communication specifically to another entity.
-
B.
addressType
Indicates the specific kind or category of address associated with an entity (e.g., home, work, billing, or shipping).
-
C.
addressContext
Indicates the situational or conversational setting in which an address (such as a location, contact, or reference) is used or interpreted.
-
D.
usesAddressingSystem
Indicates that one entity employs or applies a particular addressing system associated with another entity.
-
E.
hasAddress
Indicates that an entity is associated with a specific address or location.
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7c05060819083c51717874074c8 |
completed | March 1, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69a4b7238d4c8190b22d6c2ac0ac4911 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7a0d0308190a00192aa9062bdaa |
completed | March 1, 2026, 10:03 p.m. |
Created at: March 1, 2026, 7:41 p.m.