Triple
T15477837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claude F. A. Schaeffer |
E376829
|
entity |
| Predicate | notableSiteExcavated |
P18735
|
FINISHED |
| Object | Enkomi |
E1159663
|
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: Enkomi | Statement: [Claude F. A. Schaeffer, notableSiteExcavated, Enkomi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enkomi Context triple: [Claude F. A. Schaeffer, notableSiteExcavated, Enkomi]
-
A.
Enkomi
chosen
Enkomi is an important Late Bronze Age archaeological site on Cyprus, identified by many scholars with the ancient city of Alashiya.
-
B.
Ekhoni
Ekhoni is a Bengali film directed by Tapan Sinha, known for its realistic portrayal of urban youth and social issues in contemporary Kolkata.
-
C.
Orikum
Orikum is a small coastal town in southern Albania known for its bay on the Adriatic Sea and proximity to the ancient city of Oricum and the Karaburun Peninsula.
-
D.
Enenga
Enenga is a dialect of the Myene language spoken by communities in Gabon.
-
E.
Marcali
Marcali is a small town in southwestern Hungary known for its agricultural surroundings and role as a local administrative and service center in Somogy County.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f88a5dc8190a2d7830748e29180 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff36595bfc8190a0d60b3cb875ccc5 |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:34 a.m.