Triple
T1988488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yemeni corner |
E43195
|
entity |
| Predicate | associatedAction |
P7177
|
FINISHED |
| Object | touching by pilgrims |
—
|
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: touching by pilgrims | Statement: [Yemeni corner, associatedAction, touching by pilgrims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedAction Context triple: [Yemeni corner, associatedAction, touching by pilgrims]
-
A.
associatedOperation
Indicates that one entity is linked to or involved with a particular operation, process, or activity.
-
B.
actsOn
Indicates that one entity performs an action that affects, targets, or is directed toward another entity.
-
C.
associatedCommand
Indicates a relationship where one entity is linked to, or meant to be used with, a particular command or set of commands.
-
D.
associatedFunction
Indicates that one entity has a related or linked function that is conceptually or operationally connected to it.
-
E.
associatedWithVerb
chosen
Indicates that one entity is connected or linked to another through some verb-based relationship or action.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8ee02dc81908fec9fd8df7a4f40 |
completed | March 7, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69abb79ad6888190be99943a9c73cf3e |
completed | March 7, 2026, 5:28 a.m. |
Created at: March 4, 2026, 7:37 p.m.