Triple
T332409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Pueblo de Nuestra Señora la Reina de los Ángeles |
E6652
|
entity |
| Predicate | hasStreetLayoutCenteredOn |
P11555
|
FINISHED |
| Object | central plaza |
—
|
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: central plaza | Statement: [El Pueblo de Nuestra Señora la Reina de los Ángeles, hasStreetLayoutCenteredOn, central plaza]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStreetLayoutCenteredOn Context triple: [El Pueblo de Nuestra Señora la Reina de los Ángeles, hasStreetLayoutCenteredOn, central plaza]
-
A.
streetGridOrientation
Indicates the predominant directional alignment or pattern of streets within a given area or city layout.
-
B.
hasStreet
Indicates that an entity is located on, associated with, or identified by a particular street.
-
C.
hasMainStreet
Indicates that a place or locality possesses a primary street commonly recognized as its main thoroughfare.
-
D.
hasCentralFigure
Indicates that something features a primary or most important figure at its core or focus.
-
E.
isCentralTo
Indicates that something plays a primary, essential, or defining role in relation to something else, such that the latter depends on or is organized around it.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eab1a7048190ac690ddc2e294914 |
completed | Feb. 28, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69a2e94c6d8881908239d3788c018adf |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea09a5e881908b313cb37409a4f9 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.