Triple
T14911444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Ortona |
E371270
|
entity |
| Predicate | tookPlaceIn |
P40
|
FINISHED |
| Object | Ortona |
E371270
|
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: Ortona | Statement: [Battle of Ortona, tookPlaceIn, Ortona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ortona Context triple: [Battle of Ortona, tookPlaceIn, Ortona]
-
A.
Ortona
chosen
Ortona is a coastal town and seaport on the Adriatic in Italy’s Abruzzo region, known historically for its strategic location and medieval heritage.
-
B.
Seregno
Seregno is a town in the Lombardy region of northern Italy, known for its industrial activity and proximity to Milan.
-
C.
Manfredonia
Manfredonia is a coastal town in Italy’s Apulia region, known for its Adriatic seafront, fishing harbor, and proximity to the Gargano promontory.
-
D.
Novedrate
Novedrate is a small municipality in the Province of Como in the Lombardy region of northern Italy.
-
E.
D'Aquila
D'Aquila is a character in Stephen Adly Guirgis's play "Jesus Hopped the 'A' Train," which explores themes of faith, justice, and morality within the prison system.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61d75008190b6f9a1a38137836f |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e86ce888190b03056db39438701 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:26 a.m.