Triple
T6419735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amulius |
E127914
|
entity |
| Predicate | killedIn |
P870
|
FINISHED |
| Object | Alba Longa |
E207148
|
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: Alba Longa | Statement: [Amulius, killedIn, Alba Longa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alba Longa Context triple: [Amulius, killedIn, Alba Longa]
-
A.
Alba Longa
chosen
Alba Longa was an ancient Latin city in central Italy, traditionally regarded as the mother city of Rome and the seat of the Alban kings.
-
B.
Ostia
Ostia was the principal harbor city of ancient Rome, serving as a major commercial and military port at the mouth of the Tiber River.
-
C.
Clusium
Clusium was an important ancient Etruscan city, known for its strategic location in central Italy and its significant role in early Roman history.
-
D.
Tarquinia
Tarquinia is an ancient Etruscan city in central Italy renowned for its richly painted tombs and significant archaeological remains.
-
E.
Terracina
Terracina is a historic coastal city in the Lazio region of central Italy, known for its ancient Roman ruins and scenic position on the Tyrrhenian Sea.
- 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_69c0083815208190a9b299b8e0640218 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0690194dc8190b3382bd5f92876b5 |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bb79f74819088a6e30a9deb8616 |
completed | March 27, 2026, 9:19 a.m. |
Created at: March 22, 2026, 4:43 p.m.