Triple
T11745811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fajardo, Puerto Rico |
E279276
|
entity |
| Predicate | hasBioluminescentBayType |
P101122
|
FINISHED |
| Object | lagoon |
—
|
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: lagoon | Statement: [Fajardo, Puerto Rico, hasBioluminescentBayType, lagoon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBioluminescentBayType Context triple: [Fajardo, Puerto Rico, hasBioluminescentBayType, lagoon]
-
A.
hasBioluminescentBay
Indicates that a location possesses a bay where the water naturally emits visible light due to bioluminescent organisms.
-
B.
usesBioluminescenceFor
Indicates that an entity employs bioluminescence specifically for a particular function, purpose, or context.
-
C.
hasNotableBay
Indicates that a place possesses a bay that is recognized for its significance, prominence, or special interest.
-
D.
bioluminescent
Indicates that an entity produces and emits light through a biological chemical reaction.
-
E.
bioluminescentMembers
Indicates that the related group or collection includes members that produce and emit light through biological processes.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4f2a38c8190a682d8dae1ab9415 |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a813cc48190a3dfdc60e8af80ae |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d890458d948190b15054c9ba0fd923 |
completed | April 10, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:41 p.m.