Triple
T17222483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerro Navia |
E418020
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Quinta Normal |
E296091
|
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: Quinta Normal | Statement: [Cerro Navia, borderedBy, Quinta Normal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quinta Normal Context triple: [Cerro Navia, borderedBy, Quinta Normal]
-
A.
Quinta Normal
chosen
Quinta Normal is a commune in Santiago, Chile, known for its urban residential character and proximity to the historic Quinta Normal Park and several cultural institutions.
-
B.
Tabularium
The Tabularium was the official records office of ancient Rome, a monumental state archive building overlooking the Roman Forum.
-
C.
Connectional Table
The Connectional Table is a leadership and coordinating body within the United Methodist Church that oversees and aligns the denomination’s mission, ministries, and resources at the global level.
-
D.
"System R: Relational Approach to Database Management"
"System R: Relational Approach to Database Management" is the seminal 1976 research paper by IBM that introduced and evaluated the System R prototype, providing one of the first practical implementations and performance studies of the relational database model.
-
E.
Tamr
Tamr is a data mastering and integration company that uses machine learning to unify and clean large, disparate datasets for enterprises.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddf2c3c8190b6adceaaefd4ccbf |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0167596ab481909df59ce68c7f640e |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.