Triple
T3083502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lycia |
E64312
|
entity |
| Predicate | hasSanctuary |
P22412
|
FINISHED |
| Object | Letoon |
E110382
|
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: Letoon | Statement: [Lycia, hasSanctuary, Letoon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Letoon Context triple: [Lycia, hasSanctuary, Letoon]
-
A.
Letoon
chosen
Letoon is an ancient religious sanctuary in Lycia, Turkey, dedicated primarily to the goddess Leto and her children Apollo and Artemis, and is part of a UNESCO World Heritage archaeological site.
-
B.
Toive
Toive is a Finnish given name, notably borne by Toive Torvalds.
-
C.
Leens
Leens is a village in the Dutch province of Groningen, located within the municipality of Het Hogeland.
-
D.
Holthees
Holthees is a small village in the Dutch province of North Brabant, known for its rural character and historic church.
-
E.
Leineaue
Leineaue is the natural floodplain landscape along the River Leine, characterized by periodically inundated meadows, wetlands, and riparian habitats.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1e877008190aacbd6f1357bdb9b |
completed | March 8, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f89b650c8190983a00e37a42a794 |
completed | March 11, 2026, 11:19 p.m. |
Created at: March 8, 2026, 3:03 p.m.