Triple
T26635706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbia Point Housing Project |
E668629
|
entity |
| Predicate | conditionIn1970s |
P161597
|
FINISHED |
| Object | severely deteriorated |
—
|
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: severely deteriorated | Statement: [Columbia Point Housing Project, conditionIn1970s, severely deteriorated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conditionIn1970s Context triple: [Columbia Point Housing Project, conditionIn1970s, severely deteriorated]
-
A.
statusBefore1990s
Indicates the condition or state that an entity had prior to the 1990s.
-
B.
statusBy1950s
Indicates the status or condition of something as it existed by the 1950s.
-
C.
statusAfter1970
Indicates the status or condition of an entity as it exists after the year 1970.
-
D.
statusAfter1980
Indicates the condition or state of an entity as it exists at some point after the year 1980.
-
E.
statusDuring1990s
Indicates the status or condition that held for an entity throughout some or all of the 1990s time period.
- 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_69ee9d0024b8819090a7c8cf669a3b6c |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f61ad613608190855de13501a86007 |
completed | May 2, 2026, 3:40 p.m. |
| PD | Predicate disambiguation | batch_69f611ab768c8190b1849c15a3e59dda |
completed | May 2, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f61a16b7848190bf20d2be7e5a16c1 |
completed | May 2, 2026, 3:36 p.m. |
Created at: April 27, 2026, 2:27 a.m.