Triple
T30833548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwest street naming system of Washington, D.C. |
E785293
|
entity |
| Predicate | irregularitiesCausedBy |
P144001
|
FINISHED |
| Object | topography |
—
|
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: topography | Statement: [Northwest street naming system of Washington, D.C., irregularitiesCausedBy, topography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: irregularitiesCausedBy Context triple: [Northwest street naming system of Washington, D.C., irregularitiesCausedBy, topography]
-
A.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
B.
possibleCauseOf
Indicates that one entity is a potential, but not certain, cause or contributing factor to another entity or outcome.
-
C.
causeStatus
Indicates that one entity brings about, initiates, or is responsible for a particular state or condition in another entity.
-
D.
divergenceCause
Indicates that one entity is the cause or source of a divergence, difference, or deviation observed in another entity or process.
-
E.
causeOfAsymmetry
chosen
Indicates that one entity is the source or reason for the asymmetry observed in another entity or system.
- 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_69f224b73d8c81908129383bfb397c87 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6913c10f881909fee1f70a4fe9ad0 |
completed | May 3, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:45 p.m.