Triple
T3435337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Locris |
E72437
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Naupactus
Naupactus was an ancient Greek port city of strategic importance on the Corinthian Gulf, historically associated with the region of Locris.
|
E359076
|
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: Naupactus | Statement: [Locris, hasCity, Naupactus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naupactus Context triple: [Locris, hasCity, Naupactus]
-
A.
Oropos
Oropos is a coastal town and municipality in northeastern Attica, Greece, situated opposite the island of Euboea and known for its archaeological sites and seaside resorts.
-
B.
Iasos
Iasos was an ancient Greek coastal city in Caria, in southwestern Asia Minor, known for its harbor, fisheries, and distinctive local culture.
-
C.
Xanthos
Xanthos was the principal ancient city of Lycia in southwestern Anatolia, known for its distinctive Lycian tombs and later Greek and Roman influences.
-
D.
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.
-
E.
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.
- 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: Naupactus Triple: [Locris, hasCity, Naupactus]
Generated description
Naupactus was an ancient Greek port city of strategic importance on the Corinthian Gulf, historically associated with the region of Locris.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Naupactus Target entity description: Naupactus was an ancient Greek port city of strategic importance on the Corinthian Gulf, historically associated with the region of Locris.
-
A.
Oropos
Oropos is a coastal town and municipality in northeastern Attica, Greece, situated opposite the island of Euboea and known for its archaeological sites and seaside resorts.
-
B.
Iasos
Iasos was an ancient Greek coastal city in Caria, in southwestern Asia Minor, known for its harbor, fisheries, and distinctive local culture.
-
C.
Xanthos
Xanthos was the principal ancient city of Lycia in southwestern Anatolia, known for its distinctive Lycian tombs and later Greek and Roman influences.
-
D.
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.
-
E.
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.
- 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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9c3300881909f5c3544f8923b41 |
completed | March 8, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360cbcb60819095a28e50cac5a4ca |
completed | March 13, 2026, 12:56 a.m. |
| NEDg | Description generation | batch_69b361b5aab88190be74127a8cc055af |
completed | March 13, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b36264b39481909e8255c3af92c977 |
completed | March 13, 2026, 1:03 a.m. |
Created at: March 8, 2026, 3:16 p.m.