Triple
T1191012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Lawn of the White House |
E25358
|
entity |
| Predicate | positionRelativeToWhiteHouse |
P26196
|
FINISHED |
| Object | south side |
—
|
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: south side | Statement: [South Lawn of the White House, positionRelativeToWhiteHouse, south side]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionRelativeToWhiteHouse Context triple: [South Lawn of the White House, positionRelativeToWhiteHouse, south side]
-
A.
homeOfPresident
Indicates the location that serves as the residence of a president.
-
B.
distanceFromFord’sTheatre
Indicates the spatial distance between an entity and Ford’s Theatre.
-
C.
distanceToWashingtonMonument
Indicates the physical distance between a given entity’s location and the Washington Monument.
-
D.
distanceToWashingtonDC
Indicates the physical distance between a given location and Washington, D.C.
-
E.
seatOfGovernment
Indicates that a location serves as the administrative center where a government exercises its official authority and conducts its primary governing functions.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd58d8d88190b8d9c9c9de7f4e97 |
completed | March 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5bacc481909e8dfd5215e4711a |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bd0ab5f88190bb583fc63b4cc150 |
completed | March 1, 2026, 10:26 p.m. |
Created at: March 1, 2026, 7:45 p.m.