Triple
T8510913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thebai |
E201449
|
entity |
| Predicate | hasGreekName |
P3659
|
FINISHED |
| Object | Θῆβαι |
E518021
|
NE 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: Θῆβαι | Statement: [Thebai, hasGreekName, Θῆβαι]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Θῆβαι Context triple: [Thebai, hasGreekName, Θῆβαι]
-
A.
Θήβα
chosen
Η Θήβα είναι ιστορική πόλη της Βοιωτίας στην κεντρική Ελλάδα, γνωστή από την αρχαία ελληνική μυθολογία και την κλασική ιστορία.
-
B.
Athina
Athina is the given name of Athina Onassis, the granddaughter and principal heir of Greek shipping magnate Aristotle Onassis.
-
C.
Argēs
Argēs is a figure from Greek mythology, traditionally known as one of the Cyclopes associated with thunder and lightning.
-
D.
Ateni
Ateni is a historic village in eastern Georgia known for its nearby medieval Ateni Sioni Church and scenic river valley setting.
-
E.
Trikala
Trikala is a historic city in central Greece known for its role in ancient Thessaly and its modern reputation as a model of smart, sustainable urban development.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe608e5b08190a6d551793e8ed94b |
completed | March 31, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e47542c8190af93dca3ce16a04b |
completed | April 2, 2026, 11:08 a.m. |
Created at: March 30, 2026, 6:15 p.m.