Triple
T3860751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tribe of Naftali |
E90129
|
entity |
| Predicate | allotmentDescribedIn |
P28051
|
FINISHED |
| Object | Joshua 19 |
—
|
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: Joshua 19 | Statement: [Tribe of Naftali, allotmentDescribedIn, Joshua 19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allotmentDescribedIn Context triple: [Tribe of Naftali, allotmentDescribedIn, Joshua 19]
-
A.
hasLandAllotmentDescribedIn
chosen
Indicates that an entity’s land allotment is specified or detailed in a particular document or description.
-
B.
requiredShareOfLand
Indicates the proportion or amount of land that must be allocated or possessed to satisfy a specified requirement or rule.
-
C.
landGrantDesignation
Indicates that an institution has been formally designated as a land-grant institution under a land-grant program or legislation.
-
D.
hasNumberOfAcres
Indicates the specific quantity of land area, measured in acres, that is associated with an entity.
-
E.
entailsTerritorialDesignation
Indicates that one entity’s status, action, or condition necessarily results in or includes a specific territorial designation being applied or recognized.
- 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec212a1c8190aba6311630c3fd3e |
completed | March 9, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69aee752c8a48190a670f73ed0bf1e61 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:19 p.m.