Triple
T28153503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Bazaar of Tehran |
E714682
|
entity |
| Predicate | eraOfEarlierRoots |
P166204
|
FINISHED |
| Object | pre-Safavid period |
—
|
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: pre-Safavid period | Statement: [Grand Bazaar of Tehran, eraOfEarlierRoots, pre-Safavid period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfEarlierRoots Context triple: [Grand Bazaar of Tehran, eraOfEarlierRoots, pre-Safavid period]
-
A.
hasAncestralRoots
Indicates that one entity originates from, descends from, or is historically rooted in another entity or place.
-
B.
identifiesAsRoots
Indicates that an entity is recognized or designated as the root or primary origin within a structure, hierarchy, or system.
-
C.
isRootOf
Indicates that one entity is the root or origin point from which another entity directly or indirectly descends or is derived.
-
D.
relatedRoot
Indicates that one entity is connected to another through a shared or common root, origin, or foundational source.
-
E.
associatedRootGenus
Indicates that one entity is taxonomically linked or connected as a root genus to another entity.
- 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_69efd6b033208190bf74f80a147e2092 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f66003a3f48190a2ba6da5aafbb5cb |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 27, 2026, 10:01 p.m.