Triple
T24962127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Maunabo |
E624635
|
entity |
| Predicate | hasCoastalEcosystems |
P11765
|
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: [Municipality of Maunabo, hasCoastalEcosystems, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoastalEcosystems Context triple: [Municipality of Maunabo, hasCoastalEcosystems, true]
-
A.
hasCoastalEnvironment
Indicates that an entity is located in, adjacent to, or characterized by a coastal environment or shoreline setting.
-
B.
hasMarineEcosystem
chosen
Indicates that an entity possesses, contains, or is associated with a marine ecosystem as part of its characteristics or environment.
-
C.
hasCoastalCharacteristic
Indicates that an entity possesses a feature, quality, or condition specifically related to coastal or shoreline environments.
-
D.
hasCoastalLandmarks
Indicates that an entity possesses or is associated with notable geographic or cultural features located along a coast.
-
E.
hasCoastalRegion
Indicates that a place possesses at least one region that borders or is directly adjacent to a sea or ocean.
- F. None of above.
Provenance (3 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_69e2ff23a3a88190b1b9743fe5e15f94 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 18, 2026, 5:59 a.m.