Triple
T33377904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cayeyal |
E854685
|
entity |
| Predicate | locatedInFirstLevel |
P40
|
FINISHED |
| Object | Commonwealth of Puerto Rico |
E338
|
NE 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: Commonwealth of Puerto Rico | Statement: [Cayeyal, locatedInFirstLevel, Commonwealth of Puerto Rico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInFirstLevel Context triple: [Cayeyal, locatedInFirstLevel, Commonwealth of Puerto Rico]
-
A.
locatedOnLevel
Indicates that one entity is situated on a specific floor or level within a multi-level structure or system.
-
B.
locatedIn
chosen
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
-
C.
firstLocation
Indicates the initial or primary place where an entity is situated, originates, or where an event or relationship begins.
-
D.
locatedUnder
Indicates that one entity is positioned directly or generally beneath another entity in space.
-
E.
firstLevelWithinProvince
Indicates that an administrative unit is a first-level subdivision contained within a given province.
- F. None of above.
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_69f3496ca10c8190908640d18fa00832 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3552203948819099fe1fe3bd76a5a9 |
completed | June 19, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:35 a.m.