Triple
T16906937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parla tram |
E424587
|
entity |
| Predicate | locatedIn |
P40
|
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: [Parla tram, locatedIn, Parla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parla Context triple: [Parla tram, locatedIn, 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.
Montegallo
Montegallo is a small mountainous municipality in Italy’s Marche region, known for its scenic Apennine landscapes and traditional rural character.
-
D.
Conversano
Conversano is a historic hilltop town in the Apulia region of southern Italy, known for its medieval castle, Romanesque cathedral, and traditional white-stone architecture.
-
E.
Brindisini
Brindisini are the inhabitants or natives of Brindisi, a historic port city in the Apulia region of southern Italy.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3ca39f9b08190b15106c6caf895ec |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7b7b698819081d2e39976b69587 |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:30 a.m.