Triple
T19076082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ophrah |
E466905
|
entity |
| Predicate | statusInText |
P134245
|
FINISHED |
| Object | important local cult center in Gideon narrative |
—
|
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: important local cult center in Gideon narrative | Statement: [Ophrah, statusInText, important local cult center in Gideon narrative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInText Context triple: [Ophrah, statusInText, important local cult center in Gideon narrative]
-
A.
statusIndicates
Indicates that a particular status value conveys or reflects the current condition, state, or situation of an entity or process.
-
B.
statusIncludes
Indicates that one entity’s status set contains or encompasses the status (or statuses) of another entity.
-
C.
statusInSI
Indicates that an entity’s status or condition is specified according to the International System of Units (SI) or an SI-based standard.
-
D.
statusSymbol
Indicates that something serves as a marker or representation of an entity’s social, economic, or cultural standing relative to others.
-
E.
textStatus
Indicates the current state or condition of a piece of text, such as its progress, validity, or processing outcome.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e49c7c8190b6ce7b918086b23c |
completed | April 20, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e4b99f602881909eeb9c780597e0e6 |
completed | April 19, 2026, 11:16 a.m. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:04 p.m.