Triple
T2701887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Modular Lightweight Load-carrying Equipment |
E59248
|
entity |
| Predicate | attachmentMethod |
P42077
|
FINISHED |
| Object | PALS webbing |
—
|
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: PALS webbing | Statement: [Modular Lightweight Load-carrying Equipment, attachmentMethod, PALS webbing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attachmentMethod Context triple: [Modular Lightweight Load-carrying Equipment, attachmentMethod, PALS webbing]
-
A.
appointmentMethod
Indicates how an appointment is arranged, such as the channel, process, or means used to schedule it.
-
B.
submissionMethod
Indicates the means or channel through which something is submitted or delivered.
-
C.
confirmationMethod
Indicates the means or process by which something is verified, validated, or confirmed as true or accepted.
-
D.
campaignMethod
Indicates the method or approach used to conduct or deliver a campaign.
-
E.
agingMethod
Indicates the process or technique by which something (typically a product or material) is matured, aged, or allowed to develop its characteristics over time.
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda4e679c8190a2926284568d9020 |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd82062988190b4292f242ad70b2c |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd9ceec708190aa162399023b2273 |
completed | March 7, 2026, 7:54 a.m. |
Created at: March 6, 2026, 9:55 p.m.