Triple
T1911430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argolid |
E38118
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lerna
Lerna is an ancient region in the Argolid of Greece, famed in mythology as the site of the Lernaean Hydra and important prehistoric settlements.
|
E215768
|
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: Lerna | Statement: [Argolid, contains, Lerna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lerna Context triple: [Argolid, contains, Lerna]
-
A.
Dodona
Dodona was an ancient Greek oracle and sanctuary in Epirus, renowned as one of the oldest religious sites dedicated to Zeus.
-
B.
Delph
Delph is a historic village in the Saddleworth area of Greater Manchester, England, known for its Pennine landscape and former textile mills.
-
C.
Ascra
Ascra was an ancient village in Boeotia, Greece, best known as the hometown of the poet Hesiod.
-
D.
Kalydon
Kalydon is an ancient Greek city in Aetolia, famed in mythology for the Calydonian Boar hunt and its prominent role in early Greek epic tradition.
-
E.
Nemea
Nemea is an ancient site in the northeastern Peloponnese of Greece, renowned for its sanctuary of Zeus and its role as one of the four major venues of the Panhellenic athletic festivals.
- 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: Lerna Triple: [Argolid, contains, Lerna]
Generated description
Lerna is an ancient region in the Argolid of Greece, famed in mythology as the site of the Lernaean Hydra and important prehistoric settlements.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lerna Target entity description: Lerna is an ancient region in the Argolid of Greece, famed in mythology as the site of the Lernaean Hydra and important prehistoric settlements.
-
A.
Dodona
Dodona was an ancient Greek oracle and sanctuary in Epirus, renowned as one of the oldest religious sites dedicated to Zeus.
-
B.
Delph
Delph is a historic village in the Saddleworth area of Greater Manchester, England, known for its Pennine landscape and former textile mills.
-
C.
Ascra
Ascra was an ancient village in Boeotia, Greece, best known as the hometown of the poet Hesiod.
-
D.
Kalydon
Kalydon is an ancient Greek city in Aetolia, famed in mythology for the Calydonian Boar hunt and its prominent role in early Greek epic tradition.
-
E.
Nemea
Nemea is an ancient site in the northeastern Peloponnese of Greece, renowned for its sanctuary of Zeus and its role as one of the four major venues of the Panhellenic athletic festivals.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1b88db48190a9229a7416054a85 |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3d5972881908856b75b324a1ad2 |
completed | March 8, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69adf44290748190b882559de536af09 |
completed | March 8, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adf4d0ac58819096659706ef0785d0 |
completed | March 8, 2026, 10:14 p.m. |
Created at: March 4, 2026, 7:35 p.m.