Triple
T34468016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sants |
E884826
|
entity |
| Predicate | integratedIntoCity |
P179880
|
FINISHED |
| Object | Barcelona in the 19th century |
—
|
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: Barcelona in the 19th century | Statement: [Sants, integratedIntoCity, Barcelona in the 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: integratedIntoCity Context triple: [Sants, integratedIntoCity, Barcelona in the 19th century]
-
A.
integratedIntoUrbanNetwork
Indicates that an entity has been incorporated into and functions as part of a broader urban infrastructure or service network.
-
B.
integratedIntoParis
Indicates that one entity has been incorporated or merged into the administrative, social, or structural framework of Paris.
-
C.
builtCityWhere
Indicates that an agent constructed or established a city at the specified location.
-
D.
concentratedInCity
Indicates that a large proportion or primary presence of something is located within a particular city.
-
E.
citySide
Indicates that one entity is located on or along a particular side or edge of a city relative to another reference point.
- 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_69f349c880408190ade571c471ab154a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f728a345488190bd7e6751b09ac591 |
completed | May 3, 2026, 10:51 a.m. |
| PD | Predicate disambiguation | batch_69f7283ef2608190a7a85d7e7f5332c0 |
completed | May 3, 2026, 10:49 a.m. |
| PDg | Predicate description generation | batch_69f728a1a0d081909e1b4465e7b88390 |
completed | May 3, 2026, 10:51 a.m. |
Created at: May 1, 2026, 2:01 a.m.