Triple
T11268734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lulusar Lake |
E266754
|
entity |
| Predicate | distanceFromNaran |
P98845
|
FINISHED |
| Object | about 48 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: about 48 kilometers | Statement: [Lulusar Lake, distanceFromNaran, about 48 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromNaran Context triple: [Lulusar Lake, distanceFromNaran, about 48 kilometers]
-
A.
distanceFromNaha
Indicates the spatial distance between a given location and Naha.
-
B.
distanceToNajranCityApproxKm
Indicates the approximate distance, measured in kilometers, between an entity’s location and Najran City.
-
C.
distanceFromOrange
Indicates the spatial distance between a given entity and an orange as the reference point.
-
D.
distanceToMnajdra
Indicates the spatial distance between a given entity and the location of Mnajdra.
-
E.
distanceFromNaples
Indicates the spatial distance between a given entity and the city of Naples.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94f60d48190bc925c3cb88641a8 |
completed | April 9, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69d7879bc56c8190b2e8d2193f29de05 |
completed | April 9, 2026, 11:03 a.m. |
| PDg | Predicate description generation | batch_69d796cf74308190a5b29d0dd82954a2 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:31 p.m.