Triple
T12655337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ḥimṣ |
E302264
|
entity |
| Predicate | hasReconstructionEfforts |
P28319
|
FINISHED |
| Object | post-war rebuilding and rehabilitation |
—
|
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: post-war rebuilding and rehabilitation | Statement: [Ḥimṣ, hasReconstructionEfforts, post-war rebuilding and rehabilitation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReconstructionEfforts Context triple: [Ḥimṣ, hasReconstructionEfforts, post-war rebuilding and rehabilitation]
-
A.
hasReconstructionWork
chosen
Indicates that an entity is undergoing, has undergone, or is associated with reconstruction or restoration work.
-
B.
hasReconstructionPlan
Indicates that there exists a defined plan or strategy for rebuilding, restoring, or reconstructing a given entity or system.
-
C.
reconstructionWork
Indicates that an entity is engaged in or associated with activities to rebuild, restore, or repair something that was damaged, destroyed, or altered.
-
D.
haveReconstructionWork
Indicates that an entity is undergoing or is associated with reconstruction or restoration work.
-
E.
hasMajorReconstruction
Indicates that an entity has undergone a significant or extensive reconstruction or renovation.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b78ce8819091f15dd5013e6da5 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:18 p.m.