Triple
T26255618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Domestic Violence Hotline |
E656705
|
entity |
| Predicate | hasTTYNumber |
P160169
|
FINISHED |
| Object | 1-800-787-3224 |
—
|
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: 1-800-787-3224 | Statement: [National Domestic Violence Hotline, hasTTYNumber, 1-800-787-3224]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTTYNumber Context triple: [National Domestic Violence Hotline, hasTTYNumber, 1-800-787-3224]
-
A.
terminalNumber
Indicates the specific terminal identifier associated with an entity, such as a device, port, or connection point, within a larger system or network.
-
B.
hasPlatformNumber
Indicates that a location or service is associated with a specific platform identified by a platform number.
-
C.
hasTerminalFacility
Indicates that an entity possesses or includes a terminal facility used as an endpoint for transport, communication, or related operations.
-
D.
hasIntegratedTerminal
Indicates that one entity includes or supports a built-in terminal interface as part of its functionality.
-
E.
hasTerminalService
Indicates that one entity provides or is associated with a terminal-related service (such as an endpoint, station, or final service point) for another entity.
- 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f60dfaeebc8190ac01d3a0030acf55 |
completed | May 2, 2026, 2:45 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f5ffc6268c8190b63f6360ebadab73 |
completed | May 2, 2026, 1:44 p.m. |
Created at: April 26, 2026, 9:08 p.m.