Triple
T6285925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C-4 |
E140899
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Parla |
E95405
|
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: Parla | Statement: [C-4, serves, Parla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parla Context triple: [C-4, serves, Parla]
-
A.
Parla
chosen
Parla is a suburban municipality and residential town located in the southern metropolitan area of Madrid, Spain.
-
B.
Neapoli
Neapoli is a small town in eastern Crete, Greece, known for its traditional architecture and role as a local administrative and cultural center.
-
C.
Brindisini
Brindisini are the inhabitants or natives of Brindisi, a historic port city in the Apulia region of southern Italy.
-
D.
Veron
Veron is a microbiologist credited with formally naming and classifying the bacterial genus Campylobacter.
-
E.
Nápoles
Nápoles is a middle- to upper-class residential and commercial neighborhood in Mexico City, known for its modern architecture, the World Trade Center complex, and a mix of offices, restaurants, and apartment buildings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063fe59fc81908dbd968017771190 |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5196defc08190810c6d208ade918b |
completed | March 26, 2026, 11:33 a.m. |
Created at: March 22, 2026, 4:26 p.m.