Triple
T38497931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongsi West Street |
E919744
|
entity |
| Predicate | isHistoricAreaRoad |
P164030
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Dongsi West Street, isHistoricAreaRoad, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHistoricAreaRoad Context triple: [Dongsi West Street, isHistoricAreaRoad, true]
-
A.
isHistoricStreet
chosen
Indicates that a street has recognized historical significance or heritage status.
-
B.
hasHistoricStreet
Indicates that an entity is associated with or located on a street that has recognized historical significance.
-
C.
isOnHistoricTransportCorridor
Indicates that something is located along or within a transportation route that has recognized historical significance.
-
D.
isNamedRoadIn
Indicates that a specific named road is located within or belongs to a particular geographic area or region.
-
E.
isPublicRoad
Indicates that a given road is officially designated and accessible for use by the general public.
- 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.