Triple
T10380280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saronic Islands |
E244620
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Hydra
Hydra is a picturesque Greek island in the Saronic Gulf, renowned for its preserved stone architecture, ban on motor vehicles, and historic role in Greece’s maritime and independence history.
|
E66917
|
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: Hydra | Statement: [Saronic Islands, hasIsland, Hydra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hydra Context triple: [Saronic Islands, hasIsland, Hydra]
-
A.
Hydra
Hydra is a clandestine, authoritarian terrorist organization in the Marvel universe known for its infiltration of governments and S.H.I.E.L.D. and its recurring clashes with heroes like Captain America.
-
B.
Hydra
Hydra is a many-headed serpent-like monster from Greek mythology, famous for its regenerative heads and its defeat by the hero Heracles.
-
C.
Hydra
Hydra is the largest and longest of the 88 modern constellations, representing a water serpent in the southern sky.
-
D.
Hydra
Hydra is a U.S. dollar–pegged stablecoin designed to maintain a stable value relative to the USD.
-
E.
Hydra
Hydra is a widely used network login cracker designed to perform fast, automated brute-force attacks against numerous protocols and services.
- 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: Hydra Triple: [Saronic Islands, hasIsland, Hydra]
Generated description
Hydra is a picturesque Greek island in the Saronic Gulf, renowned for its preserved stone architecture, ban on motor vehicles, and historic role in Greece’s maritime and independence history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hydra Target entity description: Hydra is a picturesque Greek island in the Saronic Gulf, renowned for its preserved stone architecture, ban on motor vehicles, and historic role in Greece’s maritime and independence history.
-
A.
Hydra
chosen
Hydra is a Greek island in the Saronic Gulf known for its picturesque harbor, preserved stone architecture, and ban on motor vehicles.
-
B.
Hydra
Hydra is a many-headed serpent-like monster from Greek mythology, famous for its regenerative heads and its defeat by the hero Heracles.
-
C.
Hydra
Hydra is a small, freshwater cnidarian polyp known for its simple tubular body and remarkable ability to regenerate lost or damaged tissues.
-
D.
Hydra
Hydra is one of Pluto’s small outer moons, discovered in 2005 and named after the many-headed serpent from Greek mythology.
-
E.
Hydra
Hydra is the largest and longest of the 88 modern constellations, representing a water serpent in the southern sky.
- F. None of above.
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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e991056c8190a981f717c51f1f72 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7958803e88190a7bbeda4f2c6f32c |
completed | April 9, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69d79784baa481909e57adda27578cc2 |
completed | April 9, 2026, 12:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7989f8dfc8190b1fe4429f7bb0283 |
completed | April 9, 2026, 12:16 p.m. |
Created at: April 6, 2026, 12:03 p.m.