Triple
T24004566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jersey City, New Jersey |
E594334
|
entity |
| Predicate | sameCoastAs |
P150741
|
FINISHED |
| Object | Washington, D.C. |
—
|
NE NERFINISHED |
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: Washington, D.C. | Statement: [Jersey City, New Jersey, sameCoastAs, Washington, D.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sameCoastAs Context triple: [Jersey City, New Jersey, sameCoastAs, Washington, D.C.]
-
A.
includesCoastOf
Indicates that one geographic or administrative entity encompasses or contains the coastline of another entity.
-
B.
isCoastalTo
Indicates that one place is located along or directly borders the coastline of another body of water or coastal region.
-
C.
isCoastalOn
Indicates that one entity is located along or directly borders the coastline of another entity (such as a body of water or sea).
-
D.
hasNearbyCoast
Indicates that one location is situated close to a coastline or seashore.
-
E.
areCoastal
chosen
Indicates that the entities are located on or adjacent to a coastline or seashore.
- 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_69e288b9ecf08190b8c94a278f5674fe |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d4681fd88190949c5c91d4f94910 |
completed | April 29, 2026, 9:50 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:40 p.m.