Triple
T38497942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongsi West Street |
E919744
|
entity |
| Predicate | isWithinRingRoadArea |
P147292
|
FINISHED |
| Object | central Beijing core |
—
|
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: central Beijing core | Statement: [Dongsi West Street, isWithinRingRoadArea, central Beijing core]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWithinRingRoadArea Context triple: [Dongsi West Street, isWithinRingRoadArea, central Beijing core]
-
A.
isWithinRingRoad
chosen
Indicates that one location lies inside the area enclosed by a specified ring road.
-
B.
hasRingRoadRole
Indicates that an entity has a specific functional role or responsibility in relation to a ring road.
-
C.
hasRingRoadElement
Indicates that a larger ring road structure includes or is composed of a specific road segment or element.
-
D.
hasRingRoadType
Indicates that an entity is associated with a specific type or classification of ring road.
-
E.
isInnerCityRoad
Indicates that a road is located within and primarily serves the inner (central, densely built-up) area of a city.
- 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_69f76e9ddd4481908f8c04439d848f9d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:31 p.m.