Triple
T9064522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Hope neighborhood |
E217210
|
entity |
| Predicate | quadrantOfWashingtonDC |
P20373
|
FINISHED |
| Object | Southeast (SE) |
—
|
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: Southeast (SE) | Statement: [Good Hope neighborhood, quadrantOfWashingtonDC, Southeast (SE)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quadrantOfWashingtonDC Context triple: [Good Hope neighborhood, quadrantOfWashingtonDC, Southeast (SE)]
-
A.
directionFromWashingtonDC
Indicates the cardinal or relative compass direction of one place or object as measured from Washington, D.C.
-
B.
quadrant
chosen
Indicates the specific quarter or sector of a larger two-dimensional space or area in which an entity is located or classified.
-
C.
orientationRelativeToCapitol
Indicates the directional or positional relationship of something in reference to the Capitol building.
-
D.
districtOfColumbiaCarriedBy
Indicates that a candidate or party won (carried) the District of Columbia in an election.
-
E.
positionRelativeToWhiteHouse
Indicates the spatial position or location of an entity in relation to the White House.
- 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc94bb26588190b7d6f2d70819e86f |
completed | April 1, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69cc65f881248190bfd220bb28a9fb5f |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:11 p.m.