Triple
T2073424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jebus |
E44866
|
entity |
| Predicate | fortifiedAs |
P11105
|
FINISHED |
| Object | stronghold of Zion |
—
|
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: stronghold of Zion | Statement: [Jebus, fortifiedAs, stronghold of Zion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fortifiedAs Context triple: [Jebus, fortifiedAs, stronghold of Zion]
-
A.
wasFortifiedBy
Indicates that a place or structure received defensive strengthening or fortification through the actions or resources of a specified agent or entity.
-
B.
isFortifiedCity
chosen
Indicates that a city is strengthened with defensive structures or fortifications, such as walls, ramparts, or similar protective works.
-
C.
hasFortifications
Indicates that one entity possesses or is equipped with defensive structures or fortification works associated with it.
-
D.
reinforcedIn
Indicates that one entity is strengthened, supported, or made more robust within, or as a result of conditions in, another entity or context.
-
E.
fortType
Indicates the specific kind or classification of a fort associated with an entity.
- F. None of above.
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_69a88916c2b48190a5ca2e9b12cad3ed |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba101c008190840763d2f28fa8d7 |
completed | March 7, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69abb7b0edac8190a58eabee55f73deb |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:41 p.m.