Triple
T4886482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capture of Cerberus |
E109450
|
entity |
| Predicate | hasLocation |
P40
|
FINISHED |
| Object | Tiryns |
E5375
|
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: Tiryns | Statement: [Capture of Cerberus, hasLocation, Tiryns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiryns Context triple: [Capture of Cerberus, hasLocation, Tiryns]
-
A.
Pylos
Pylos is an ancient town in Messenia, Greece, known from Homeric epics and later Greek tradition as a significant Mycenaean center and legendary seat of King Nestor.
-
B.
Mycenae and Tiryns
chosen
Mycenae and Tiryns are major archaeological sites of the Mycenaean civilization in the northeastern Peloponnese, renowned for their monumental architecture, including cyclopean walls and royal tombs.
-
C.
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.
-
D.
Delph
Delph is a historic village in the Saddleworth area of Greater Manchester, England, known for its Pennine landscape and former textile mills.
-
E.
Aigina
Aigina is the ancient Greek name for the island of Aegina in the Saronic Gulf, known historically as a significant maritime and commercial center.
- 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_69bd440f71348190b99938e59fb7f9a1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e03a7fc8190bcac63f4b19e586e |
completed | March 20, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be89de55c48190a280ae0719b5a8b6 |
completed | March 21, 2026, 12:06 p.m. |
Created at: March 20, 2026, 1:28 p.m.