Triple
T34420023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carraízo Dam |
E883499
|
entity |
| Predicate | primaryCitySupplied |
P61428
|
FINISHED |
| Object | San Juan, Puerto Rico |
E316682
|
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: San Juan, Puerto Rico | Statement: [Carraízo Dam, primaryCitySupplied, San Juan, Puerto Rico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCitySupplied Context triple: [Carraízo Dam, primaryCitySupplied, San Juan, Puerto Rico]
-
A.
primaryCity
Indicates that one city serves as the main or most important city associated with a given region, entity, or context.
-
B.
primaryCityDocumented
chosen
Indicates that a city is recorded or designated as the main or principal city associated with a given entity or context.
-
C.
principalCityOf
Indicates that a city serves as the main or most important city (often administrative, economic, or cultural center) of a specified region or area.
-
D.
primaryTown
Indicates that a given town is the main or most important town associated with an entity (such as a person, organization, or region).
-
E.
primaryUseCity
Indicates that a city is the main or principal location where something (such as a service, facility, or entity) is primarily used or operates.
- 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_69f349c2e3b88190a67834eb5bcffeaf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3748d553c8819099219183b3420ed3 |
completed | June 21, 2026, 2:13 a.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 2 a.m.