Triple
T9036148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Psalm 2 |
E216497
|
entity |
| Predicate | keyConcept |
P531
|
FINISHED |
| Object | Zion |
E16772
|
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: Zion | Statement: [Psalm 2, keyConcept, Zion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zion Context triple: [Psalm 2, keyConcept, Zion]
-
A.
Zion
chosen
Zion is a biblical term referring primarily to Jerusalem and, more broadly, the historic Land of Israel, symbolizing the spiritual and national homeland of the Jewish people.
-
B.
Zion
Zion is a musical artist known for collaborating as a guest performer with other acts, including The Hip-Hop Violinist.
-
C.
Mount Zion
Mount Zion is a prominent foothill of the Rocky Mountains near Golden, Colorado, known for its scenic views, hiking trails, and the iconic Colorado School of Mines "M" on its slope.
-
D.
Mount Zion
Mount Zion is a San Francisco medical campus and hospital complex associated with the University of California, San Francisco, known for providing specialized clinical care and research.
-
E.
Shai Hills
Shai Hills is a rocky, savanna-covered area in southeastern Ghana known for its scenic landscapes, wildlife, and proximity to Accra.
- 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_69ca83d10b608190b2b2f8e0a7faaf14 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6ac0b00c8190a7250b86bb7cc276 |
completed | April 1, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbd1cd688190a4456f242e6d3ddf |
completed | April 3, 2026, 3:25 p.m. |
Created at: March 30, 2026, 7:08 p.m.