Triple
T13404929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pelasgiotis |
E319927
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Atrax
Atrax was an ancient city of Thessaly in Greece, known from classical sources as a regional center in the Pelasgiotis district.
|
E1038137
|
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: Atrax | Statement: [Pelasgiotis, containsCity, Atrax]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atrax Context triple: [Pelasgiotis, containsCity, Atrax]
-
A.
Taroa
Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
-
B.
Tayassu
Tayassu is a genus of New World peccaries, medium-sized pig-like mammals native to Central and South American forests and scrublands.
-
C.
Atripalda
Atripalda is a historic town in southern Italy’s Campania region, known for its archaeological remains and proximity to the city of Avellino.
-
D.
Gouraya
Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
-
E.
Zebilla
Zebilla is a town in Ghana’s Upper East Region that serves as a local commercial and administrative center.
- 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: Atrax Triple: [Pelasgiotis, containsCity, Atrax]
Generated description
Atrax was an ancient city of Thessaly in Greece, known from classical sources as a regional center in the Pelasgiotis district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Atrax Target entity description: Atrax was an ancient city of Thessaly in Greece, known from classical sources as a regional center in the Pelasgiotis district.
-
A.
Taroa
Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
-
B.
Tayassu
Tayassu is a genus of New World peccaries, medium-sized pig-like mammals native to Central and South American forests and scrublands.
-
C.
Atripalda
Atripalda is a historic town in southern Italy’s Campania region, known for its archaeological remains and proximity to the city of Avellino.
-
D.
Gouraya
Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
-
E.
Zebilla
Zebilla is a town in Ghana’s Upper East Region that serves as a local commercial and administrative center.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae4ae47081909b68a9aaa62fd4c7 |
completed | April 12, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7307904608190ad647f741c08dc42 |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f731d83ca081909ff0762c01280993 |
completed | May 3, 2026, 11:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7324625288190bed99890ba021e46 |
completed | May 3, 2026, 11:32 a.m. |
Created at: April 9, 2026, 9:34 p.m.