Triple
T34675904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shoah |
E890493
|
entity |
| Predicate | notableGhetto |
P205512
|
FINISHED |
| Object | Warsaw Ghetto |
E25017
|
NE 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: Warsaw Ghetto | Statement: [Shoah, notableGhetto, Warsaw Ghetto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableGhetto Context triple: [Shoah, notableGhetto, Warsaw Ghetto]
-
A.
notableUrbanEnclave
Indicates that an entity is recognized as a distinct, significant urban area or neighborhood within a larger city or metropolitan region.
-
B.
notableCartel
Indicates that an entity is recognized as a significant or prominent drug cartel within its context.
-
C.
notableInCity
Indicates that an entity is particularly prominent, recognized, or significant within a specific city.
-
D.
notableNeighborhoodType
Indicates that a neighborhood is notably characterized by, or strongly associated with, a particular type or category (e.g., residential, commercial, historic).
-
E.
notableMural
Indicates that an entity is a mural distinguished by particular significance, prominence, or recognition.
- F. None of above. chosen
Provenance (5 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_69f349d9c59481908b36baa0be093aea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3752ecdc4c8190ad85108298505b00 |
completed | June 21, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 2:05 a.m.