Triple
T10177414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Lake Regillus |
E235887
|
entity |
| Predicate | aimOfOpponents |
P38518
|
FINISHED |
| Object | restore Tarquinian monarchy in Rome |
—
|
LITERAL 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: restore Tarquinian monarchy in Rome | Statement: [Battle of Lake Regillus, aimOfOpponents, restore Tarquinian monarchy in Rome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimOfOpponents Context triple: [Battle of Lake Regillus, aimOfOpponents, restore Tarquinian monarchy in Rome]
-
A.
aimOfOtherSide
Indicates that one party’s goal or intended outcome is directed toward or defined in relation to the opposing or counterpart side in a relationship or interaction.
-
B.
opponentObjective
Indicates that one entity is the target or goal that an opposing entity aims to counter, defeat, or prevent from succeeding.
-
C.
intendedOpponents
Indicates that one entity is the target or adversary that another entity is meant or designed to oppose or confront.
-
D.
aimOfAttacker
Indicates that a particular goal, target, or objective is what the attacker intends to achieve or affect.
-
E.
objectiveOfAttackers
chosen
Indicates the target or goal that attackers aim to reach or affect through their attack.
- F. None of above.
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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdecd4e3188190aa5d9ee95595f4a7 |
completed | April 2, 2026, 4:13 a.m. |
| PD | Predicate disambiguation | batch_69cd7c79f21c8190a7f31b2eab80b8ba |
completed | April 1, 2026, 8:13 p.m. |
Created at: March 30, 2026, 9:11 p.m.