Triple
T17011379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EFHK |
E412707
|
entity |
| Predicate | cityDistanceKilometres |
P22795
|
FINISHED |
| Object | about 17 |
—
|
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 17 | Statement: [EFHK, cityDistanceKilometres, about 17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityDistanceKilometres Context triple: [EFHK, cityDistanceKilometres, about 17]
-
A.
approximateDistanceKm
chosen
Indicates the estimated distance between two entities measured in kilometers, typically with some degree of inaccuracy or approximation.
-
B.
distanceBetweenHomeCities
Indicates the measured spatial distance separating the home cities of two entities.
-
C.
flightDistance
Indicates the measured distance covered by a flight between its origin and destination.
-
D.
range_km
Indicates the maximum distance, measured in kilometers, over which something can operate, travel, or be effective.
-
E.
cityDistanceFromBrussels_km
Indicates the distance, measured in kilometers, between a given city and Brussels.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47bcb508190a799f0bad6b70245 |
completed | April 18, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.