Triple
T13223475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selinus |
E314814
|
entity |
| Predicate | hasTemple |
P1191
|
FINISHED |
| Object |
Temple F
Temple F is an ancient Greek Doric temple in the archaeological site of Selinus (Selinunte) in Sicily, notable for its early classical architecture and historical significance.
|
E1027994
|
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: Temple F | Statement: [Selinus, hasTemple, Temple F]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Temple F Context triple: [Selinus, hasTemple, Temple F]
-
A.
Temple A
Temple A is an ancient Italic religious sanctuary located within the archaeological complex of Pietrabbondante in southern Italy.
-
B.
Temple 38
Temple 38 is an ancient Maya ceremonial structure located within the North Acropolis complex at the archaeological site of Tikal in Guatemala.
-
C.
Temple
Temple is a mid-sized city in central Texas known as a regional medical and transportation hub.
-
D.
Temple
"Temple" is a British television drama series produced by Liza Marshall, centered on an underground clinic beneath London where a surgeon treats criminals and desperate patients.
-
E.
Temple
Temple is a historic legal district in central London, renowned for housing the Inns of Court and many barristers’ chambers.
- 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: Temple F Triple: [Selinus, hasTemple, Temple F]
Generated description
Temple F is an ancient Greek Doric temple in the archaeological site of Selinus (Selinunte) in Sicily, notable for its early classical architecture and historical significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Temple F Target entity description: Temple F is an ancient Greek Doric temple in the archaeological site of Selinus (Selinunte) in Sicily, notable for its early classical architecture and historical significance.
-
A.
Temple A
Temple A is an ancient Italic religious sanctuary located within the archaeological complex of Pietrabbondante in southern Italy.
-
B.
Temple 38
Temple 38 is an ancient Maya ceremonial structure located within the North Acropolis complex at the archaeological site of Tikal in Guatemala.
-
C.
Temple
Temple is a mid-sized city in central Texas known as a regional medical and transportation hub.
-
D.
Temple
"Temple" is a British television drama series produced by Liza Marshall, centered on an underground clinic beneath London where a surgeon treats criminals and desperate patients.
-
E.
Temple
Temple is a historic legal district in central London, renowned for housing the Inns of Court and many barristers’ chambers.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf74d708190a61d8ad938653b06 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff24be9881908b96f3e72325e55f |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f7001924d48190af7d430cb258409a |
completed | May 3, 2026, 7:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f700cfb43881909c903ec12b15065a |
completed | May 3, 2026, 8:01 a.m. |
Created at: April 9, 2026, 9:19 p.m.