Triple
T21138186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Echoing Sand Mountain |
E520865
|
entity |
| Predicate | distanceFromDunhuangCityCenter |
P143003
|
FINISHED |
| Object | approximately 5 kilometers |
—
|
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: approximately 5 kilometers | Statement: [Echoing Sand Mountain, distanceFromDunhuangCityCenter, approximately 5 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromDunhuangCityCenter Context triple: [Echoing Sand Mountain, distanceFromDunhuangCityCenter, approximately 5 kilometers]
-
A.
distanceFromBeijingCityCenter
Indicates the physical distance between an entity’s location and the geographic center of Beijing city.
-
B.
distanceFromDubbo_km
Indicates the distance, measured in kilometers, between an entity and the location Dubbo.
-
C.
distanceFromDubbo
Indicates the measured distance between a given entity and the location Dubbo.
-
D.
distanceFromDohaCenter
Indicates the spatial distance between a given location and the central point of Doha.
-
E.
distanceFromMedinaCenterApprox
Indicates an approximate measure of how far something is located from the center of Medina.
- F. None of above. chosen
Provenance (4 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_69e0b50b53048190ae34e8abbe3c5ada |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7235d1c788190a28577a753532b2a |
completed | April 21, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69e5f5ed6c8c8190b31092a5d4c3de5d |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f993240c8190847c0b08e65726c8 |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 2:57 p.m.