Triple
T669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everett, Massachusetts |
E13
|
entity |
| Predicate | postalCode |
P222
|
FINISHED |
| Object | 02149 |
—
|
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: 02149 | Statement: [Everett, Massachusetts, postalCode, 02149]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postalCode Context triple: [Everett, Massachusetts, postalCode, 02149]
-
A.
fullName
Indicates that an entity has a complete personal name, typically combining given name(s) and family name into a single string.
-
B.
officialName
Indicates the formally recognized name assigned to an entity by an authoritative body or source.
-
C.
namedAfter
Indicates that one entity has been given its name in honor of, or derived from, another entity.
-
D.
headquartersLocation
Indicates the place where an organization’s main administrative center or principal office is located.
-
E.
proposes
Indicates that one entity formally suggests or puts forward an idea, plan, or course of action to another entity for consideration or approval.
- 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_69a22a285828819081a58308fb963df1 |
completed | Feb. 27, 2026, 11:35 p.m. |
| NER | Named-entity recognition | batch_69a23211f05c8190b8deb03a8540d84d |
completed | Feb. 28, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69a230c2c48481908beb1db3cc9768aa |
completed | Feb. 28, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69a23211181c81909c2db8796d2aded4 |
completed | Feb. 28, 2026, 12:08 a.m. |
Created at: Feb. 27, 2026, 11:36 p.m.