Triple
T36460218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golfo Dulce |
E898268
|
entity |
| Predicate | hasWarmWaters |
P189754
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Golfo Dulce, hasWarmWaters, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWarmWaters Context triple: [Golfo Dulce, hasWarmWaters, true]
-
A.
hasShelteredWaters
Indicates that one location provides protected or calm waters for another location or activity, shielding it from rough or open conditions.
-
B.
hasHotSpring
Indicates that one entity possesses, contains, or is associated with a hot spring.
-
C.
hasAverageSummerWaterTemperature
Indicates that an entity is associated with a specific mean water temperature measured over the summer season.
-
D.
maintainedStrengthOverCoolWaters
Indicates that an entity preserved its strength or intensity while passing over relatively cool bodies of water.
-
E.
hasNumberOfHotSprings
Indicates the quantity of hot springs associated with a given entity.
- 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_69f76e57f08481908593bd0bc34581c8 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fbca6c066c8190a1599202f341417f |
completed | May 6, 2026, 11:10 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fbc9d0854c8190aa00093274afebb8 |
completed | May 6, 2026, 11:08 p.m. |
Created at: May 3, 2026, 4:10 p.m.