Triple
T5252007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chalcidice |
E118609
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Athos
Athos is a mountainous peninsula in northern Greece best known for its autonomous monastic community of Eastern Orthodox monasteries.
|
E508521
|
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: Athos | Statement: [Chalcidice, contains, Athos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Athos Context triple: [Chalcidice, contains, Athos]
-
A.
Athos
Athos is a brooding, noble swordsman and one of the titular trio in Alexandre Dumas’ classic adventure novel "The Three Musketeers."
-
B.
Porthos
Porthos is a larger-than-life, boastful yet brave musketeer in Alexandre Dumas’ novel "The Three Musketeers," known for his strength, appetite, and flamboyant personality.
-
C.
Aramis
Aramis is one of the three musketeers in Alexandre Dumas' classic novel, known for his elegance, wit, and religious vocation.
-
D.
d'Artagnan
d'Artagnan is a brave and ambitious young Gascon who becomes a musketeer and serves as the central hero in Alexandre Dumas's swashbuckling adventures.
-
E.
Chevalier de Paris
Chevalier de Paris was a notable French performer and entertainer associated with the famed Parisian music hall scene.
- 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: Athos Triple: [Chalcidice, contains, Athos]
Generated description
Athos is a mountainous peninsula in northern Greece best known for its autonomous monastic community of Eastern Orthodox monasteries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Athos Target entity description: Athos is a mountainous peninsula in northern Greece best known for its autonomous monastic community of Eastern Orthodox monasteries.
-
A.
Athos
Athos is a brooding, noble swordsman and one of the titular trio in Alexandre Dumas’ classic adventure novel "The Three Musketeers."
-
B.
Porthos
Porthos is a larger-than-life, boastful yet brave musketeer in Alexandre Dumas’ novel "The Three Musketeers," known for his strength, appetite, and flamboyant personality.
-
C.
Aramis
Aramis is one of the three musketeers in Alexandre Dumas' classic novel, known for his elegance, wit, and religious vocation.
-
D.
d'Artagnan
d'Artagnan is a brave and ambitious young Gascon who becomes a musketeer and serves as the central hero in Alexandre Dumas's swashbuckling adventures.
-
E.
Chevalier de Paris
Chevalier de Paris was a notable French performer and entertainer associated with the famed Parisian music hall scene.
- 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_69bd446978108190bb5f9c5c23d93f88 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b7b840881908bb1ecb8a0047382 |
completed | March 20, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06bc1c0c8190abc1e24f99621e49 |
completed | March 21, 2026, 8:59 p.m. |
| NEDg | Description generation | batch_69bf098637148190ab999486de995ee4 |
completed | March 21, 2026, 9:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf0a1675b8819084024aa2a99ec843 |
completed | March 21, 2026, 9:13 p.m. |
Created at: March 20, 2026, 1:50 p.m.