Triple
T34524038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flora Fountain |
E886352
|
entity |
| Predicate | formerNameOfSquare |
P65
|
FINISHED |
| Object | Flora Fountain Square |
—
|
NE NERFINISHED |
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: Flora Fountain Square | Statement: [Flora Fountain, formerNameOfSquare, Flora Fountain Square]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerNameOfSquare Context triple: [Flora Fountain, formerNameOfSquare, Flora Fountain Square]
-
A.
isFormerNameOfMainSquareIn
Indicates that one name was previously used as the official name of the main square in a given place.
-
B.
formerName
chosen
Indicates that an entity was previously known by a different name in the past.
-
C.
squareNamedAfter
Indicates that a public square is named in honor of, or derived its name from, a particular person, place, event, or entity.
-
D.
inauguratedAsSquare
Indicates that an entity was formally opened or dedicated to function as a public square.
-
E.
formerNameOfCapital
Indicates that one entity was the previous official name of a capital city before it was renamed.
- 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_69f349cd7c148190aa99192b126d1527 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a000fda03948190881b7275f249768f |
completed | May 10, 2026, 4:55 a.m. |
| PD | Predicate disambiguation | batch_6a000f607f1881908ee750d58da91690 |
completed | May 10, 2026, 4:53 a.m. |
Created at: May 1, 2026, 2:02 a.m.