Triple
T4101435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Theatre (Amman) |
E87948
|
entity |
| Predicate | middleTierName |
P53372
|
FINISHED |
| Object | media cavea |
—
|
LITERAL 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: media cavea | Statement: [Roman Theatre (Amman), middleTierName, media cavea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: middleTierName Context triple: [Roman Theatre (Amman), middleTierName, media cavea]
-
A.
middleCourseName
Indicates that the specified name is the title or label of a middle-level course within a sequence or curriculum.
-
B.
middleInitial
Indicates that an entity has a specific middle initial as part of its personal name.
-
C.
thirdTier
Indicates that an entity occupies a third level or rank within a hierarchical structure or classification.
-
D.
middleName
Indicates that one entity is the middle name of another entity.
-
E.
intermediateTerminus
Indicates that something serves as a temporary or middle stopping point within a larger route, process, or sequence.
- F. None of above. chosen
Provenance (4 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0ed168819093c83ba079d6725c |
completed | March 9, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69aef90b2ef08190ae84febfd69dd48b |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefa5c52648190b001027f4dba75cb |
completed | March 9, 2026, 4:50 p.m. |
Created at: March 9, 2026, 3:40 p.m.