Triple
T4757560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latinus |
E105624
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object |
Laurentum
Laurentum was an ancient coastal city in Latium, traditionally associated with the legendary king Latinus and early Roman mythic history.
|
E468400
|
NE FINISHED |
How this triple was built (4 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: Laurentum | Statement: [Latinus, residence, Laurentum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurentum Context triple: [Latinus, residence, Laurentum]
-
A.
Asculum
Asculum was an important ancient city in central Italy, historically serving as the chief urban center of the Piceni people.
-
B.
Maenza
Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
-
C.
Lauriacum
Lauriacum was a major Roman military and administrative center in the province of Noricum, located near the Danube in what is now Austria.
-
D.
Statilia
Statilia is an ancient Roman feminine praenomen (given name) most notably borne by the empress Statilia Messalina, wife of Emperor Nero.
-
E.
Clusium
Clusium was an important ancient Etruscan city, known for its strategic location in central Italy and its significant role in early Roman history.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Laurentum Triple: [Latinus, residence, Laurentum]
Generated description
Laurentum was an ancient coastal city in Latium, traditionally associated with the legendary king Latinus and early Roman mythic history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laurentum Target entity description: Laurentum was an ancient coastal city in Latium, traditionally associated with the legendary king Latinus and early Roman mythic history.
-
A.
Asculum
Asculum was an important ancient city in central Italy, historically serving as the chief urban center of the Piceni people.
-
B.
Maenza
Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
-
C.
Lauriacum
Lauriacum was a major Roman military and administrative center in the province of Noricum, located near the Danube in what is now Austria.
-
D.
Statilia
Statilia is an ancient Roman feminine praenomen (given name) most notably borne by the empress Statilia Messalina, wife of Emperor Nero.
-
E.
Clusium
Clusium was an important ancient Etruscan city, known for its strategic location in central Italy and its significant role in early Roman history.
- F. None of above. chosen
Provenance (5 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64ec16a0819089836e4388b555f6 |
completed | March 20, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a72ba908190ad9b423aea2a22b8 |
completed | March 21, 2026, 6:28 a.m. |
| NEDg | Description generation | batch_69be3e760ddc8190831956fc75c9a8e9 |
completed | March 21, 2026, 6:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be3edc5c008190b3a32df15abed8be |
completed | March 21, 2026, 6:46 a.m. |
Created at: March 20, 2026, 1:20 p.m.