Triple
T10447269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lương Sơn District |
E246324
|
entity |
| Predicate | distanceToHanoi |
P27403
|
FINISHED |
| Object | about 40 kilometres |
—
|
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: about 40 kilometres | Statement: [Lương Sơn District, distanceToHanoi, about 40 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToHanoi Context triple: [Lương Sơn District, distanceToHanoi, about 40 kilometres]
-
A.
distanceFromHanoi
chosen
Indicates the spatial distance between a given location and Hanoi.
-
B.
distanceToBawtry
Indicates the spatial distance between a given entity and the location of Bawtry.
-
C.
distanceToHeilbronn
Indicates the spatial distance between a given entity or location and the city of Heilbronn.
-
D.
distanceToHampi
Indicates the measured or specified distance between a given entity or location and Hampi.
-
E.
distanceToHelsinki_km
Indicates the physical distance, measured in kilometers, between an entity’s location and the city of Helsinki.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe083cd881909d2d8ad75d1d94cb |
completed | April 7, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69d4fb73a5e48190a8df4775bc5da80f |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:16 p.m.