Triple
T26813828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union Square (Piața Unirii) |
E672068
|
entity |
| Predicate | isAmongMainSquaresOf |
P15345
|
FINISHED |
| Object | Timișoara |
E178257
|
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: Timișoara | Statement: [Union Square (Piața Unirii), isAmongMainSquaresOf, Timișoara]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAmongMainSquaresOf Context triple: [Union Square (Piața Unirii), isAmongMainSquaresOf, Timișoara]
-
A.
hasNumberOfSquares
Indicates that an entity is associated with a specific count of squares it contains or comprises.
-
B.
mainSquare
chosen
Indicates that a location serves as the primary or central public square of a town or city.
-
C.
hasNearbySquare
Indicates that one entity has at least one square-shaped entity located close to it in space.
-
D.
isOneOfMainAreasFor
Indicates that something belongs to the primary set of domains, topics, or fields associated with another entity.
-
E.
squareGivenBy
Indicates that one entity is a square (or square-shaped region) that has been specified, defined, or provided by another entity.
- 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_69eeb3225a3c8190aaf6746efeded2f3 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f61a83c8ec8190ba1f49371889e547 |
completed | May 2, 2026, 3:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12a7a6ff1c8190a68fe003c95ae19c |
completed | May 24, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 4:31 a.m.