Triple
T3071214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston Globe Media Partners |
E64025
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | STAT |
E324171
|
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: STAT | Statement: [Boston Globe Media Partners, hasBrand, STAT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: STAT Context triple: [Boston Globe Media Partners, hasBrand, STAT]
-
A.
STAT
chosen
STAT is a U.S.-based media company and news site focused on in-depth coverage of health, medicine, and life sciences.
-
B.
Statistics
Statistics is a Julia standard library module that provides basic statistical functions such as means, variances, and related summary measures for numerical data.
-
C.
Stat.
Stat. is the standard legal citation abbreviation for the United States Statutes at Large, the official chronological compilation of all federal laws and resolutions enacted by the U.S. Congress.
-
D.
STA
STA is the vehicle registration code for the district of Starnberg in Bavaria, Germany.
-
E.
Department of Statistics
The Department of Statistics at the National University of Colombia (Bogotá) is an academic unit dedicated to teaching, research, and professional training in statistical science and its applications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad857a8aec8190bfdfd9c14554ac5a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada14b366881908e2ca104e5f38251 |
completed | March 8, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20354031c819081a0852fe7e181ab |
completed | March 12, 2026, 12:05 a.m. |
Created at: March 8, 2026, 3:02 p.m.