Triple
T21083725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Friday massacre |
E519434
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Jomʿe-ye Sīāh |
—
|
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: Jomʿe-ye Sīāh | Statement: [Black Friday massacre, alsoKnownAs, Jomʿe-ye Sīāh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jomʿe-ye Sīāh Context triple: [Black Friday massacre, alsoKnownAs, Jomʿe-ye Sīāh]
-
A.
Jomʿe-ye Sīāh
chosen
Jomʿe-ye Sīāh refers to the 8 September 1978 massacre in Tehran, when Iranian security forces opened fire on protesters during the Iranian Revolution, killing and wounding large numbers of civilians.
-
B.
Garmeh
Garmeh is a small city in northeastern Iran, located within North Khorasan Province.
-
C.
Sowme'eh Sara
Sowme'eh Sara is a city in northern Iran known for its location in the lush, coastal Gilan Province along the Caspian Sea.
-
D.
Siahkal
Siahkal is a small city in northern Iran known for its lush, forested surroundings and location within the Caspian coastal region.
-
E.
Hafezieh
Hafezieh is a famous mausoleum and cultural site in Shiraz, Iran, dedicated to the revered Persian poet Hafez and known for its beautiful gardens and traditional architecture.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e70948704481908b8b75a2ecc42bb6 |
completed | April 21, 2026, 5:21 a.m. |
Created at: April 16, 2026, 2:49 p.m.