Triple
T20066674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Tehran |
E499624
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Qods |
—
|
NE NERFINISHED |
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: Qods | Statement: [Greater Tehran, contains, Qods]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qods Context triple: [Greater Tehran, contains, Qods]
-
A.
Qods
chosen
Qods is a city in Tehran Province, Iran, known primarily as the administrative center of Qods County within the Tehran metropolitan area.
-
B.
Talibra
Talibra is an independent music label associated with the release of Talib Kweli’s album "Gutter Rainbows."
-
C.
Rotem
Rotem is a surname most notably associated with J.R. Rotem, a prominent music producer and songwriter.
-
D.
Wasta
Wasta is a small rural town in Pennington County, South Dakota, known for its location along the Cheyenne River and proximity to Badlands National Park.
-
E.
Taganga
Taganga is a small fishing village and popular backpacker destination on Colombia’s Caribbean coast, known for its beaches, diving, and proximity to Tayrona National Natural Park.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66379f2cc81908f13a7b216878f12 |
completed | April 20, 2026, 5:33 p.m. |
Created at: April 11, 2026, 3:39 p.m.