Triple
T4435939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manaus |
E95648
|
entity |
| Predicate | distanceFromAtlanticMouthOfAmazon |
P55998
|
FINISHED |
| Object | about 1,500 km inland |
—
|
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 1,500 km inland | Statement: [Manaus, distanceFromAtlanticMouthOfAmazon, about 1,500 km inland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromAtlanticMouthOfAmazon Context triple: [Manaus, distanceFromAtlanticMouthOfAmazon, about 1,500 km inland]
-
A.
distanceToSouthAmerica
Indicates the spatial distance between a given entity’s location and the continent of South America.
-
B.
distanceToPacificOcean
Indicates the physical distance between a given location or entity and the Pacific Ocean.
-
C.
distanceFromCoast
Indicates the measured spatial separation between a location and the nearest point on a coastline.
-
D.
distanceFromFalklands
Indicates the measured spatial distance between a given entity or location and the Falkland Islands.
-
E.
distanceFromHornOfAfrica
Indicates the measured or specified distance between an entity and the Horn of Africa region.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35589f8608190b0820d36beaacf44 |
completed | March 13, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69b34f6078cc8190831b89f404198cc5 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3505a87b4819083fbbd58870e520b |
completed | March 12, 2026, 11:46 p.m. |
Created at: March 12, 2026, 11:31 p.m.