Triple
T31547487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philadelphia Zoning Board of Adjustment |
E804907
|
entity |
| Predicate | decisionsAffect |
P14171
|
FINISHED |
| Object | real estate development in Philadelphia |
—
|
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: real estate development in Philadelphia | Statement: [Philadelphia Zoning Board of Adjustment, decisionsAffect, real estate development in Philadelphia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decisionsAffect Context triple: [Philadelphia Zoning Board of Adjustment, decisionsAffect, real estate development in Philadelphia]
-
A.
decisionsAre
Indicates that certain choices, judgments, or resolutions possess a specified quality, status, or classification.
-
B.
decisionsConcern
Indicates that certain decisions are about, relate to, or focus on a particular subject, issue, or entity.
-
C.
decisionsTakenBy
Indicates that one or more decisions are made or taken by a specified agent or entity.
-
D.
decisionEffect
chosen
Indicates that one decision leads to, influences, or determines a particular outcome or consequence.
-
E.
decisionsFormalizedAs
Indicates that informal or conceptual decisions are captured, documented, or codified into an official, structured form.
- F. None of above.
Provenance (3 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_69f348d11a048190a65eb8384a3754ac |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 30, 2026, 10:09 p.m.