Triple
T4393500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massachusetts State Representative |
E99421
|
entity |
| Predicate | numberOfMembersInChamber |
P45157
|
FINISHED |
| Object | 160 members in the Massachusetts House of Representatives |
—
|
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: 160 members in the Massachusetts House of Representatives | Statement: [Massachusetts State Representative, numberOfMembersInChamber, 160 members in the Massachusetts House of Representatives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMembersInChamber Context triple: [Massachusetts State Representative, numberOfMembersInChamber, 160 members in the Massachusetts House of Representatives]
-
A.
numberOfCommitteeMembers
Indicates the total count of individuals who are members of a given committee.
-
B.
numberOfMembersInHouse
chosen
Indicates the total count of members that belong to a particular house.
-
C.
numberOfMembersUpperHouse
Indicates the total count of individuals serving as members in the upper house of a legislative body.
-
D.
plenaryChamberCapacity
Indicates the seating capacity of the main plenary chamber where formal sessions or assemblies are held.
-
E.
numberOfAppointedMembers
Indicates the specific count of members who have been formally appointed to a group, body, or position.
- 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_69b345506b408190b0e3dee616738a7d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352a8862481909dc67abf42be6928 |
completed | March 12, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69b34f597998819092477efdedb51427 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:19 p.m.