Triple
T22065712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Ward, Newark |
E545263
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Ironbound |
—
|
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: Ironbound | Statement: [East Ward, Newark, hasPart, Ironbound]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ironbound Context triple: [East Ward, Newark, hasPart, Ironbound]
-
A.
Ironbound
chosen
Ironbound is a vibrant, historically immigrant-rich neighborhood in Newark, New Jersey, known for its Portuguese, Brazilian, and Latin American culture, restaurants, and nightlife.
-
B.
Cold Irons Bound
"Cold Irons Bound" is a Grammy-winning, blues-infused song by Bob Dylan, noted for its dense, apocalyptic lyrics and murky, atmospheric production.
-
C.
Men of Iron
Men of Iron is a historical adventure novel by Howard Pyle that follows the coming-of-age and knighthood of a young squire in 15th-century England.
-
D.
Iron Will
Iron Will is a 1994 Disney adventure film about a young man racing his sled dogs across the wilderness to save his family’s farm.
-
E.
The Blacksmith
The Blacksmith is a 1922 silent short comedy film starring Buster Keaton as a bumbling blacksmith’s assistant whose mishaps lead to a series of slapstick adventures.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12883d2108190a6127783f8f635fc |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:27 p.m.