Triple
T14740974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andingmen Gate site |
E346342
|
entity |
| Predicate | cityGateDirection |
P44884
|
FINISHED |
| Object | north |
—
|
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: north | Statement: [Andingmen Gate site, cityGateDirection, north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityGateDirection Context triple: [Andingmen Gate site, cityGateDirection, north]
-
A.
cityGateTo
Indicates a directional relationship where one location or path leads to or opens into a city gate.
-
B.
transportDirection
Indicates the directional flow or route along which something is transported from an origin toward a destination.
-
C.
hasStreetDirection
chosen
Indicates that a street or road segment is associated with a specific directional orientation (e.g., northbound, east-west).
-
D.
routeDirectionB
Indicates that one entity represents the direction or orientation of a route or path relative to another entity.
-
E.
directionFromCharingCross
Indicates the compass direction of one place or object as measured from Charing Cross.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7345680819093e901233a064e48 |
completed | April 14, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69de8bf9331481909582045cd567d91f |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:30 a.m.