Triple
T17325023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palacio Municipal de La Plata |
E420663
|
entity |
| Predicate | positionInCityPlan |
P79168
|
FINISHED |
| Object | civic axis of La Plata |
—
|
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: civic axis of La Plata | Statement: [Palacio Municipal de La Plata, positionInCityPlan, civic axis of La Plata]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInCityPlan Context triple: [Palacio Municipal de La Plata, positionInCityPlan, civic axis of La Plata]
-
A.
positionInPlan
chosen
Indicates the specific place or ordering of an element within a larger plan or sequence of planned steps.
-
B.
positionOnCityCircle
Indicates that one entity is located along the circular boundary or ring-shaped layout defined by a city.
-
C.
positionRelativeToBuilding
Indicates the spatial relationship of an entity’s location with respect to a specific building (e.g., in front of, behind, adjacent to, on top of).
-
D.
locationOfPlanning
Indicates the place or setting where the planning activity or process occurs.
-
E.
positionOnTerritory
Indicates that one entity occupies or is located at a specific position within the spatial extent of another entity’s territory.
- F. None of above.
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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d18e3081908ca15baa743abcd8 |
completed | April 19, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69e3b01b9d1c8190a406dd941c9b11a1 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:43 a.m.