Triple
T29818539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamul waterfall |
E757179
|
entity |
| Predicate | hasBoatDeparturePoint |
P189343
|
FINISHED |
| Object | La Morena |
—
|
NE NERFINISHED |
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: La Morena | Statement: [Tamul waterfall, hasBoatDeparturePoint, La Morena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBoatDeparturePoint Context triple: [Tamul waterfall, hasBoatDeparturePoint, La Morena]
-
A.
hasCruiseDeparturePoint
Indicates the location from which a cruise journey is scheduled to start or depart.
-
B.
hasNearbyFerryPort
Indicates that one location is situated close enough to another location that serves as a ferry port to be considered nearby.
-
C.
hasBoatFacility
Indicates that an entity provides or is equipped with facilities or services specifically for boats.
-
D.
hasNearbyPier
Indicates that one entity is located close to a pier associated with or adjacent to another entity.
-
E.
hasNearbyHarbor
Indicates that one location has a harbor situated close to it in geographic proximity.
- 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_69f2245701c88190ad42415a0956c4ed |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbbc48b75c8190bec27dd4b7de797f |
completed | May 6, 2026, 10:10 p.m. |
Created at: April 29, 2026, 5:27 p.m.